A Metaheuristic Hybrid of Double-Target Multi-Layer Perceptron for Energy Performance Analysis in Residential Buildings

Recently, metaheuristic algorithms have been recognized as applicable techniques for solving various computational complexities in energy problems. In this work, a powerful metaheuristic technique called the water cycle algorithm (WCA) is assessed for analyzing and predicting two annual parameters,...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Cheng Lin, Yunting Lin
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2023-04-01
Sarja:	Buildings
Aiheet:	energy sustainability building energy performance thermal load artificial neural networks metaheuristic algorithms
Linkit:	https://www.mdpi.com/2075-5309/13/4/1086
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