A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Kefer:2019:EUROCAST,
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author = "Kathrin Kefer and Roland Hanghofer and
Patrick Kefer and Markus Stoeger and Michael Affenzeller and
Stephan Winkler and Stefan Wagner and Bernd Hofer",
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title = "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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booktitle = "International Conference on Computer Aided Systems
Theory, EUROCAST 2019",
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year = "2019",
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editor = "Roberto Moreno-Diaz and Franz Pichler and
Alexis Quesada-Arencibia",
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volume = "12013",
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series = "Lecture Notes in Computer Science",
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pages = "405--412",
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address = "Las Palmas de Gran Canaria, Spain",
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month = "17-22 " # feb,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-030-45092-2",
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DOI = "doi:10.1007/978-3-030-45093-9_49",
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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