building energy management building information modelling change management data mining energy efficiency Energy efficient building energy management energy performance indicator flexibility measurement Genetic algorithm industry 4.0 industry 4.0 maturity assessment Internet of Things knowledge based energy management knowledge management linked data machine learning manufacturing Ontology ontology engineering ontology population product configuration product lifecycle management production planning and control requirement engineering resource efficiency resource efficient manufacturing semantic data integration smart cities virtual engineering
2012 |
Rogalski, Sven; Siebel, Jan; Aleksandrov, Kiril; Wicaksono, Hendro Sustainable Production Planning Through Flexibility Measurements In Different Manufacturing Organizational Levels Inproceedings Proceeding 10th Global Conference of Sustainable Manufacturing (GCSM), 2012. Abstract | BibTeX | Tags: change management, digital factory, flexibility measurement, manufacturing, resource efficient manufacturing @inproceedings{Rogalski2012, title = {Sustainable Production Planning Through Flexibility Measurements In Different Manufacturing Organizational Levels}, author = {Sven Rogalski and Jan Siebel and Kiril Aleksandrov and Hendro Wicaksono}, year = {2012}, date = {2012-11-02}, booktitle = {Proceeding 10th Global Conference of Sustainable Manufacturing (GCSM)}, abstract = {Production companies operate in increasingly turbulent and discontinuous environments. The rapid speed of change, coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Therefore, a more holistic view of technical and organizational freedom is needed in production to support sustainable planning, control and modification of manufacturing systems, which incorporate system and life cycle aspects to the goal of profitability. Hence, reliable statements about flexibility on different organisational levels in a manufacturing system have a considerable role to ensure resource efficiency. The following paper details the concept for calculating the production flexibility and the application experience in industrial production from the flexibility assessment toolbox ecoFLEX. It enables the simulation of targeted and dynamic alignment of existing plant structures and value-added processes with external environmental and internal changes. Unlike digital factory planning tools, a complete picture of the specific plant situation is not required, as will be illustrated by selected case studies from the medium sized assembling and stamping production enterprises. }, keywords = {change management, digital factory, flexibility measurement, manufacturing, resource efficient manufacturing}, pubstate = {published}, tppubtype = {inproceedings} } Production companies operate in increasingly turbulent and discontinuous environments. The rapid speed of change, coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Therefore, a more holistic view of technical and organizational freedom is needed in production to support sustainable planning, control and modification of manufacturing systems, which incorporate system and life cycle aspects to the goal of profitability. Hence, reliable statements about flexibility on different organisational levels in a manufacturing system have a considerable role to ensure resource efficiency. The following paper details the concept for calculating the production flexibility and the application experience in industrial production from the flexibility assessment toolbox ecoFLEX. It enables the simulation of targeted and dynamic alignment of existing plant structures and value-added processes with external environmental and internal changes. Unlike digital factory planning tools, a complete picture of the specific plant situation is not required, as will be illustrated by selected case studies from the medium sized assembling and stamping production enterprises. |
Wicaksono, Hendro; Rogalski, Sven; Ovtcharova, Jivka Ontology Driven Approach for Intelligent Energy Management in Discrete Manufacturing Inproceedings Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pp. 108-114, INSTICC SciTePress, 2012, ISBN: 978-989-8565-30-3. Abstract | Links | BibTeX | Tags: energy efficiency, energy management, knowledge acquisition, knowledge capturing, machine learning, manufacturing, Ontology @inproceedings{Wicaksono2012c, title = {Ontology Driven Approach for Intelligent Energy Management in Discrete Manufacturing}, author = {Hendro Wicaksono and Sven Rogalski and Jivka Ovtcharova}, url = {http://www.scitepress.org/PublicationsDetail.aspx?ID=VdNAwL50fGw=&t=1}, doi = {10.5220/0004141601080114}, isbn = {978-989-8565-30-3}, year = {2012}, date = {2012-10-07}, booktitle = {Proceedings of the International Conference on Knowledge Engineering and Ontology Development}, volume = {1}, pages = {108-114}, publisher = {SciTePress}, organization = {INSTICC}, abstract = {In recent years ontologies have been used for knowledge representation in different domains, such as energy management and manufacturing. Researchers have developed approaches in applying ontologies for intelligent energy management in households. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. Energy management in a manufacturing company involves different organizational entities and technical processes. This paper proposes an approach to applying ontology for intelligent energy management in discrete manufacturing companies. The ontology provides a formal knowledge representation that is accessible by different human stakeholders as well as machines in the company. This paper also demonstrates the methods used to construct and to process the ontology.}, keywords = {energy efficiency, energy management, knowledge acquisition, knowledge capturing, machine learning, manufacturing, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } In recent years ontologies have been used for knowledge representation in different domains, such as energy management and manufacturing. Researchers have developed approaches in applying ontologies for intelligent energy management in households. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. Energy management in a manufacturing company involves different organizational entities and technical processes. This paper proposes an approach to applying ontology for intelligent energy management in discrete manufacturing companies. The ontology provides a formal knowledge representation that is accessible by different human stakeholders as well as machines in the company. This paper also demonstrates the methods used to construct and to process the ontology. |
Rogalski, Sven; Wicaksono, Hendro; Ovtcharova, Jivka Resource-Efficient Planning in Production through Flexibility Measurements Inproceedings Proceeding 10th International Conference on Manufacturing Research (ICMR 2012), 2012. BibTeX | Tags: discrete manufacturing, flexibility measurement, manufacturing flexibility @inproceedings{Rogalski2012b, title = {Resource-Efficient Planning in Production through Flexibility Measurements}, author = {Sven Rogalski and Hendro Wicaksono and Jivka Ovtcharova}, year = {2012}, date = {2012-09-13}, booktitle = {Proceeding 10th International Conference on Manufacturing Research (ICMR 2012)}, keywords = {discrete manufacturing, flexibility measurement, manufacturing flexibility}, pubstate = {published}, tppubtype = {inproceedings} } |
Wicaksono, Hendro; Rogalski, Sven; Ovtcharova, Jivka Knowledge Management Approach to improve Energy Efficiency in Small Medium Enterprises Journal Article 2012. Abstract | BibTeX | Tags: data mining, energy efficiency, energy management, knowledge management, machine learning, Ontology @article{Wicaksono2012d, title = {Knowledge Management Approach to improve Energy Efficiency in Small Medium Enterprises}, author = {Hendro Wicaksono and Sven Rogalski and Jivka Ovtcharova}, year = {2012}, date = {2012-09-13}, abstract = {Energy efficiency in accordance with the economization of production costs is an important com-petitive factor in the energy-intensive industry. Energy management is a way to achieve this, but most of the manufacturing companies face problems in implementing it due to the lack of standard-izations in their operation portfolio. Energy related information are managed separately and in an unstructured manner. Managements have low visibility to the usage of energy in the operation due to the knowledge gap between managers and operators. Operators are often not aware whether their activities and decisions create excessive energy usage because of the different knowledge among them. This paper introduces a novel method based on knowledge management approach to address the problem using an ontology knowledge base and semi-automatic knowledge acquisition using data mining technique. In this paper the application of the approach in a small medium sized stain-less steel manufacturer will be presented. }, keywords = {data mining, energy efficiency, energy management, knowledge management, machine learning, Ontology}, pubstate = {published}, tppubtype = {article} } Energy efficiency in accordance with the economization of production costs is an important com-petitive factor in the energy-intensive industry. Energy management is a way to achieve this, but most of the manufacturing companies face problems in implementing it due to the lack of standard-izations in their operation portfolio. Energy related information are managed separately and in an unstructured manner. Managements have low visibility to the usage of energy in the operation due to the knowledge gap between managers and operators. Operators are often not aware whether their activities and decisions create excessive energy usage because of the different knowledge among them. This paper introduces a novel method based on knowledge management approach to address the problem using an ontology knowledge base and semi-automatic knowledge acquisition using data mining technique. In this paper the application of the approach in a small medium sized stain-less steel manufacturer will be presented. |
Rogalski, Sven; Wicaksono, Hendro Handling resource efficiency in production of small and medium sized enterprises Inproceedings 2012 18th International ICE Conference on Engineering, Technology and Innovation, pp. 1-9, IEEE, Munich, Germany, 2012. Abstract | Links | BibTeX | Tags: change management, flexibility measurement, Genetic algorithm, manufacturing, resource efficiency @inproceedings{Rogalski2012c, title = {Handling resource efficiency in production of small and medium sized enterprises}, author = {Sven Rogalski and Hendro Wicaksono}, url = {http://ieeexplore.ieee.org/document/6297707/}, doi = {10.1109/ICE.2012.6297707}, year = {2012}, date = {2012-09-10}, booktitle = {2012 18th International ICE Conference on Engineering, Technology and Innovation}, pages = {1-9}, publisher = {IEEE}, address = {Munich, Germany}, abstract = {For years, production companies have faced an increasingly complex and rapidly changing market, which results in higher client customization. These coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Uncertain projections about future sales, fluctuations in quantities, new manufacturing technologies and shorter product life cycles with changing product requirements, at the same time with an increasing range of variants requires a continuous transformation of production structures to the current requirements on the market. As a consequence, methods for evaluating a company's production flexibility are of great significance. The following article discusses the experience gained in research results in medium-sized production. The use of the IT-framework “WertProNET” that emerged from these results shows the impact that production changes have on economical plant operation, and how unnecessary additional costs from the inefficient use of resources can be avoided.}, keywords = {change management, flexibility measurement, Genetic algorithm, manufacturing, resource efficiency}, pubstate = {published}, tppubtype = {inproceedings} } For years, production companies have faced an increasingly complex and rapidly changing market, which results in higher client customization. These coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Uncertain projections about future sales, fluctuations in quantities, new manufacturing technologies and shorter product life cycles with changing product requirements, at the same time with an increasing range of variants requires a continuous transformation of production structures to the current requirements on the market. As a consequence, methods for evaluating a company's production flexibility are of great significance. The following article discusses the experience gained in research results in medium-sized production. The use of the IT-framework “WertProNET” that emerged from these results shows the impact that production changes have on economical plant operation, and how unnecessary additional costs from the inefficient use of resources can be avoided. |
Wicaksono, Hendro; Aleksandrov, Kiril; Rogalski, Sven An Intelligent System for Improving Energy Efficiency in Building Using Ontology and Building Automation Systems Book Chapter Kongoli, Florian (Ed.): IntechOpen, 2012, ISBN: 978-953-51-0685-2. Links | BibTeX | Tags: building energy management, data mining, energy efficiency, machine learning, Ontology @inbook{Wicaksono2012, title = {An Intelligent System for Improving Energy Efficiency in Building Using Ontology and Building Automation Systems}, author = {Hendro Wicaksono and Kiril Aleksandrov and Sven Rogalski }, editor = {Florian Kongoli}, url = {https://www.intechopen.com/books/automation/an-intelligent-system-for-improving-energy-efficiency-in-building-using-ontology-and-building-automa}, doi = {10.5772/48006}, isbn = {978-953-51-0685-2}, year = {2012}, date = {2012-07-25}, publisher = {IntechOpen}, keywords = {building energy management, data mining, energy efficiency, machine learning, Ontology}, pubstate = {published}, tppubtype = {inbook} } |
Aleksandrov, Kiril; Wicaksono, Hendro; Rogalski, Sven Evaluation of Resource Flexibility in Digital Factory Planning in Small and Medium sized Enterprises Inproceedings FAIM, International Conference on Flexible Automation and Intelligent Manufacturing, pp. 61-70, Curran Associates, Red Hook, 2012, ISBN: 978-952-15-2783-8. Links | BibTeX | Tags: change management, digital factory, layout planning, production planning and control, SME oriented technology @inproceedings{Aleksandrov2012, title = {Evaluation of Resource Flexibility in Digital Factory Planning in Small and Medium sized Enterprises}, author = {Kiril Aleksandrov and Hendro Wicaksono and Sven Rogalski}, url = {https://www.tib.eu/en/search/id/tema%3ATEMA20140307649/Evaluation-of-Resource-Flexibility-in-Digital-Factory/}, isbn = { 978-952-15-2783-8}, year = {2012}, date = {2012-06-13}, booktitle = {FAIM, International Conference on Flexible Automation and Intelligent Manufacturing}, pages = {61-70}, publisher = {Curran Associates}, address = { Red Hook}, keywords = {change management, digital factory, layout planning, production planning and control, SME oriented technology}, pubstate = {published}, tppubtype = {inproceedings} } |
2011 |
Schubert, Viktor; Aleksandrov, Kiril; Wicaksono, Hendro Von der Anforderung zum Design-Element - Modellierung der Produktstruktur mit dem Business Editor Book Chapter Franke, H J (Ed.): pp. 74-82, Shaker, Aachen, 2011. Links | BibTeX | Tags: Ontology, product configuration, product lifecycle management, requirement engineering @inbook{Schubert2011, title = {Von der Anforderung zum Design-Element - Modellierung der Produktstruktur mit dem Business Editor}, author = {Viktor Schubert and Kiril Aleksandrov and Hendro Wicaksono}, editor = {H. J. Franke}, url = {https://www.amazon.de/Anforderungsmanagement-kundenindividuelle-Produkte-L%C3%B6sungsans%C3%A4tze-Praxisorientierte/dp/384400517X}, doi = {978-3-8440-0517-2}, year = {2011}, date = {2011-11-01}, pages = {74-82}, publisher = {Shaker}, address = {Aachen}, keywords = {Ontology, product configuration, product lifecycle management, requirement engineering}, pubstate = {published}, tppubtype = {inbook} } |
Rogalski, Sven; Wicaksono, Hendro Methodology for Flexibility Measurement in Semi-automatic Production Book Chapter ElMaraghy, Hoda A (Ed.): pp. 141-146, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-23860-4. Abstract | Links | BibTeX | Tags: flexibility measurement, manufacturing, resource efficient manufacturing @inbook{Rogalski2011, title = {Methodology for Flexibility Measurement in Semi-automatic Production}, author = {Sven Rogalski and Hendro Wicaksono}, editor = {Hoda A. ElMaraghy}, url = {https://link.springer.com/chapter/10.1007%2F978-3-642-23860-4_23}, doi = {10.1007/978-3-642-23860-4_23}, isbn = {978-3-642-23860-4}, year = {2011}, date = {2011-09-15}, pages = {141-146}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {Demands on production systems are changing constantly as a result of changing competitive conditions and are also closely linked to the performance goals of time, quality, costs and innovation ability. This results in an ever increasing selection between various competitors, with the most important selection criteria being customer individualization, an increasingly shorter product life cycle and new technological innovations. This situation creates an existential need for production companies to manage to adapt over time to the changed surrounding conditions and plan their resources in a way that makes them suitable for cost-effective and market-oriented manufacturing. The following article presents the computerized methodology of an innovative evaluation technique called ecoFLEX which allows the measurement of a production system's flexibility. At first the paper details the general concept for estimating production flexibility and the approach to concretely calculating the flexibility on different production levels. Furthermore, it presents the practical experience gained in ecoFLEX during its application at a small and medium enterprise (SME) to evaluate the complex manufacturing coherencies from the perspective of their efficiency. Especially it will be shown how the usage of flexibility indices calculated by ecoFLEX helps to come to the right decision on the strategic and operational level in production systems.}, keywords = {flexibility measurement, manufacturing, resource efficient manufacturing}, pubstate = {published}, tppubtype = {inbook} } Demands on production systems are changing constantly as a result of changing competitive conditions and are also closely linked to the performance goals of time, quality, costs and innovation ability. This results in an ever increasing selection between various competitors, with the most important selection criteria being customer individualization, an increasingly shorter product life cycle and new technological innovations. This situation creates an existential need for production companies to manage to adapt over time to the changed surrounding conditions and plan their resources in a way that makes them suitable for cost-effective and market-oriented manufacturing. The following article presents the computerized methodology of an innovative evaluation technique called ecoFLEX which allows the measurement of a production system's flexibility. At first the paper details the general concept for estimating production flexibility and the approach to concretely calculating the flexibility on different production levels. Furthermore, it presents the practical experience gained in ecoFLEX during its application at a small and medium enterprise (SME) to evaluate the complex manufacturing coherencies from the perspective of their efficiency. Especially it will be shown how the usage of flexibility indices calculated by ecoFLEX helps to come to the right decision on the strategic and operational level in production systems. |
Wicaksono, Hendro; Schubert, Viktor; Rogalski, Sven; Laydi, Youssef Ait; Ovtcharova, Jivka Ontology-driven Requirements Elicitation in Product Configuration Systems Book Chapter ElMaraghy, Hoda A (Ed.): pp. 63-67, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-23860-4. Abstract | Links | BibTeX | Tags: Ontology, product configuration, requirement engineering @inbook{Wicaksono2011, title = {Ontology-driven Requirements Elicitation in Product Configuration Systems}, author = {Hendro Wicaksono and Viktor Schubert and Sven Rogalski and Youssef Ait Laydi and Jivka Ovtcharova}, editor = {Hoda A. ElMaraghy}, url = {https://link.springer.com/chapter/10.1007/978-3-642-23860-4_10}, doi = {10.1007/978-3-642-23860-4_10}, isbn = {978-3-642-23860-4}, year = {2011}, date = {2011-09-15}, pages = {63-67}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {Producing timely and customer-oriented products is a key factor for manufacturers` success in competing in the recent global economic era. Customer needs are becoming more complex as a result of rapid changes in social, technical, and economic conditions. Manufacturers must provide more flexibility and individual customizations of the products. This is not an easy task due to the different perspectives between manufacturer and customer during the pre-contract phase. Product configuration systems are generally used to improve the quotation process. However, it is still difficult to provide customer satisfying products because customers often cannot clearly articulate their requirements. This paper introduces an approach that assists the customer in articulating their requirements and supports the manufacturer to capture the customer needs completely. We propose an intelligent product configuration system that harmonizes both customer and manufacturer perspectives, based on an ontology-based integrated knowledge model. We utilize ontology-based methods and techniques to develop a recommender system in the product configuration system to improve the requirements elicitation and to avoid requirement inconsistencies.}, keywords = {Ontology, product configuration, requirement engineering}, pubstate = {published}, tppubtype = {inbook} } Producing timely and customer-oriented products is a key factor for manufacturers` success in competing in the recent global economic era. Customer needs are becoming more complex as a result of rapid changes in social, technical, and economic conditions. Manufacturers must provide more flexibility and individual customizations of the products. This is not an easy task due to the different perspectives between manufacturer and customer during the pre-contract phase. Product configuration systems are generally used to improve the quotation process. However, it is still difficult to provide customer satisfying products because customers often cannot clearly articulate their requirements. This paper introduces an approach that assists the customer in articulating their requirements and supports the manufacturer to capture the customer needs completely. We propose an intelligent product configuration system that harmonizes both customer and manufacturer perspectives, based on an ontology-based integrated knowledge model. We utilize ontology-based methods and techniques to develop a recommender system in the product configuration system to improve the requirements elicitation and to avoid requirement inconsistencies. |
Schubert, Viktor; Wicaksono, Hendro; Rogalski, Sven A Product Life-Cycle Oriented Approach for Knowledge-Based Product Configuration Systems Book Chapter Bernard, Alain (Ed.): pp. 357-362, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-15973-2. Abstract | Links | BibTeX | Tags: case-based reasoning, product configuration, product lifecycle management, requirement engineering @inbook{Schubert2011b, title = {A Product Life-Cycle Oriented Approach for Knowledge-Based Product Configuration Systems}, author = {Viktor Schubert and Hendro Wicaksono and Sven Rogalski}, editor = {Alain Bernard}, url = {https://link.springer.com/chapter/10.1007/978-3-642-15973-2_35}, doi = {10.1007/978-3-642-15973-2_35}, isbn = {978-3-642-15973-2}, year = {2011}, date = {2011-02-12}, pages = {357-362}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {Faced with increasing complexity in the global economy, a timely and accurate operation of the market demands an accelerated harmonization of customer and manufacturer perspective in the quotation phase through product configuration systems. An approach for knowledge-based product configuration through the integration of experience and knowledge from the product use phase is presented below. The goal of this approach is to enable a faster and software-controlled harmonization of the different customer's and the manufacturer's points of view during the pre-contract phase. Therefore a case-based reasoning method was developed to be integrated in a rule-based product configuration system. It allows a faster ascertainment of customer needs and thereby provides accurate and complete configuration of the provided products.}, keywords = {case-based reasoning, product configuration, product lifecycle management, requirement engineering}, pubstate = {published}, tppubtype = {inbook} } Faced with increasing complexity in the global economy, a timely and accurate operation of the market demands an accelerated harmonization of customer and manufacturer perspective in the quotation phase through product configuration systems. An approach for knowledge-based product configuration through the integration of experience and knowledge from the product use phase is presented below. The goal of this approach is to enable a faster and software-controlled harmonization of the different customer's and the manufacturer's points of view during the pre-contract phase. Therefore a case-based reasoning method was developed to be integrated in a rule-based product configuration system. It allows a faster ascertainment of customer needs and thereby provides accurate and complete configuration of the provided products. |
2010 |
Wicaksono, Hendro; Rogalski, Sven; Kusnady, Enrico Knowledge-based intelligent energy management using building automation system Inproceedings 2010 Conference Proceedings IPEC, IEEE, Singapore, Singapore, 2010, ISSN: 1947-1262. Abstract | Links | BibTeX | Tags: building automation system, data mining, energy management, knowledge-based system, machine learning, Ontology @inproceedings{Wicaksono2010b, title = {Knowledge-based intelligent energy management using building automation system}, author = {Hendro Wicaksono and Sven Rogalski and Enrico Kusnady}, url = {http://ieeexplore.ieee.org/document/5696994/}, doi = {10.1109/IPECON.2010.5696994}, issn = {1947-1262}, year = {2010}, date = {2010-10-29}, booktitle = {2010 Conference Proceedings IPEC}, publisher = {IEEE}, address = {Singapore, Singapore}, abstract = {The rise of energy needs and energy prices due to shortage of energy resources force companies and households to consume energy more efficiently. In recent years building automation systems are commonly used to allow better comfort for the occupants, and also to improve security in the building. This paper describes an approach for improving energy efficiency in private and business buildings by utilizing building automation systems. The goal of the approach is to provide an intelligent system that can help the occupants to monitor and control their energy consumption and also to notice their energy saving potentials. This paper also introduces method of knowledge-driven energy analysis that offers more intelligent mechanism as improvement of classical data-driven analysis, which is commonly used by existing energy analysis solutions.}, keywords = {building automation system, data mining, energy management, knowledge-based system, machine learning, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } The rise of energy needs and energy prices due to shortage of energy resources force companies and households to consume energy more efficiently. In recent years building automation systems are commonly used to allow better comfort for the occupants, and also to improve security in the building. This paper describes an approach for improving energy efficiency in private and business buildings by utilizing building automation systems. The goal of the approach is to provide an intelligent system that can help the occupants to monitor and control their energy consumption and also to notice their energy saving potentials. This paper also introduces method of knowledge-driven energy analysis that offers more intelligent mechanism as improvement of classical data-driven analysis, which is commonly used by existing energy analysis solutions. |
Wicaksono, Hendro; Rogalski, Sven Ontology Supported Intelligent Energy Management System in Buildings Inproceedings Proceeding IEEE International Conference on Industrial Engineering and Business Management (ICIEBM), IEEE 2010. BibTeX | Tags: building automation system, data mining, machine learning, Ontology @inproceedings{Wicaksono2010c, title = {Ontology Supported Intelligent Energy Management System in Buildings}, author = {Hendro Wicaksono and Sven Rogalski}, year = {2010}, date = {2010-10-13}, booktitle = {Proceeding IEEE International Conference on Industrial Engineering and Business Management (ICIEBM)}, organization = {IEEE}, keywords = {building automation system, data mining, machine learning, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } |
Schubert, Viktor; Wicaksono, Hendro; Rogalski, Sven Knowledge-based Product Configuration through Product Life Cycle Oriented Feedback-Driven Requirements Engineering Inproceedings Proceeding 20th International Conference Flexible Automation and Intelligent Manufacturing (FAIM), San Francisco, USA, 2010. BibTeX | Tags: case-based reasoning, data mining, machine learning, Ontology, product configuration, product lifecycle management @inproceedings{Schubert2010, title = {Knowledge-based Product Configuration through Product Life Cycle Oriented Feedback-Driven Requirements Engineering}, author = {Viktor Schubert and Hendro Wicaksono and Sven Rogalski}, year = {2010}, date = {2010-07-14}, booktitle = {Proceeding 20th International Conference Flexible Automation and Intelligent Manufacturing (FAIM), San Francisco, USA}, keywords = {case-based reasoning, data mining, machine learning, Ontology, product configuration, product lifecycle management}, pubstate = {published}, tppubtype = {inproceedings} } |
Wicaksono, Hendro; Rogalski, Sven Wissensbasierte Energieanalyse – Verbesserte Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs Journal Article ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, 105 (6), pp. 551-555, 2010. Abstract | Links | BibTeX | Tags: data mining, Energy efficient building, knowledge management, machine learning @article{Wicaksono2010, title = {Wissensbasierte Energieanalyse – Verbesserte Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs}, author = {Hendro Wicaksono and Sven Rogalski}, url = {http://www.hanser-elibrary.com/doi/10.3139/104.110342}, doi = {10.3139/104.110342}, year = {2010}, date = {2010-06-30}, journal = {ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb}, volume = {105}, number = {6}, pages = {551-555}, abstract = {Vor dem Hintergrund einer wesentlich verbesserten Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs – trotz bestehender Gebäudeautomationssysteme – startete im Mai 2009 das Projekt „KEHL – Kontrollierte-Energie-Haushalts-Lösungen“ im Rahmen des Programms „KMU-innovativ“. Die wesentliche Forschungsherausforderung ist dabei, es dem Nutzer auf Basis einer einzigartigen Raum-, Zeit-, Ereignis-Relation zu ermöglichen, gebäudebezogene Gesamtverbräuche in Gebäuden bis auf die Geräteebene aufzusplitten und energetische Auswertungen in Abhängigkeit zum Nutzungsverhalten durchzuführen. Hierdurch werden nutzungsabhängige Energieverbrauchsanalysen ermöglicht, die eine automatisierte energieeffizientere Ansteuerung der vorhandenen Automationssysteme bewirken. Im nachstehenden Beitrag sollen unter anderem auf bisher erzielte Projektergebnisse eingegangen sowie weiterführende Forschungsansätze herausgestellt werden. Schwerpunkt der Ausführungen bilden insbesondere die KEHL-Wissensbasis und die darauf aufbauenden Energieanalysen.}, keywords = {data mining, Energy efficient building, knowledge management, machine learning}, pubstate = {published}, tppubtype = {article} } Vor dem Hintergrund einer wesentlich verbesserten Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs – trotz bestehender Gebäudeautomationssysteme – startete im Mai 2009 das Projekt „KEHL – Kontrollierte-Energie-Haushalts-Lösungen“ im Rahmen des Programms „KMU-innovativ“. Die wesentliche Forschungsherausforderung ist dabei, es dem Nutzer auf Basis einer einzigartigen Raum-, Zeit-, Ereignis-Relation zu ermöglichen, gebäudebezogene Gesamtverbräuche in Gebäuden bis auf die Geräteebene aufzusplitten und energetische Auswertungen in Abhängigkeit zum Nutzungsverhalten durchzuführen. Hierdurch werden nutzungsabhängige Energieverbrauchsanalysen ermöglicht, die eine automatisierte energieeffizientere Ansteuerung der vorhandenen Automationssysteme bewirken. Im nachstehenden Beitrag sollen unter anderem auf bisher erzielte Projektergebnisse eingegangen sowie weiterführende Forschungsansätze herausgestellt werden. Schwerpunkt der Ausführungen bilden insbesondere die KEHL-Wissensbasis und die darauf aufbauenden Energieanalysen. |