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Building energy consumption forecast using multi-objective genetic programming

https://doi.org/10.1016/j.measurement.2018.01.032
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Dynamic characteristics and energy performance of buildings using phase change materials: A review
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inferred← citeshttps://doi.org/10.16984/saufenbilder.793333openalex-snapshot
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