A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression

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@InProceedings{Kefer:2019:EUROCAST,

• author = "Kathrin Kefer and Roland Hanghofer and Patrick Kefer and Markus Stoeger and Michael Affenzeller and Stephan Winkler and Stefan Wagner and Bernd Hofer",
• title = "A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression",
• booktitle = "International Conference on Computer Aided Systems Theory, EUROCAST 2019",
• year = "2019",
• editor = "Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia",
• volume = "12013",
• series = "Lecture Notes in Computer Science",
• pages = "405--412",
• address = "Las Palmas de Gran Canaria, Spain",
• month = "17-22 " # feb,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-030-45092-2",
• DOI = "doi:10.1007/978-3-030-45093-9_49",
• abstract = "In recent years, renewable energy resources have become increasingly important. Due to the fluctuating and changing environment, these energy sources are not permanently available. At certain times, e.g. a photovoltaic (PV) power plant can only generate little or no electricity at all. This is why energy management systems (EMS), which store, use and distribute the available energy as optimally as possible, have been strongly promoted and further developed recently.",

}

Genetic Programming entries for Kathrin Kefer Roland Hanghofer Patrick Kefer Markus Stoeger Michael Affenzeller Stephan M Winkler Stefan Wagner Bernd Hofer

Citations