Abstract
Energy management systems are a typical example for inert systems where an event or action causes an effect with a delay. Traditional solutions for energy management, such as PID controllers (PID = proportional-integral-derivative loops), control target values efficiently but are sub-optimal in terms of energy consumption. The paper presents a novel, case-based reasoning approach for inert energy management systems that aims to reduce energy wastage in over heating and over cooling for buildings. We develop a case representation based on time series data, taking environmental impact factors into consideration, such as weather forecast data. This includes a post-mortem assessment function that balances energy consumption with comfort for the users. We briefly discuss retrieval and reuse issues. We report on an experimental evaluation of the approach based on a building simulation, including 35 years of historical weather data.
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Acknowledgements
The authors would like to thank Prof. Alfred Karbach and his team at the THM University of Applied Sciences for providing valuable insights to energy systems and many fruitful discussions on user comfort. Further, we thank Dipl.-Ing. Beate Massa whose expert advice on facility management issues we appreciate very much.
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Minor, M., Marx, L. (2017). Case-Based Reasoning for Inert Systems in Building Energy Management. In: Aha, D., Lieber, J. (eds) Case-Based Reasoning Research and Development. ICCBR 2017. Lecture Notes in Computer Science(), vol 10339. Springer, Cham. https://doi.org/10.1007/978-3-319-61030-6_14
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DOI: https://doi.org/10.1007/978-3-319-61030-6_14
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