Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency

Building energy efficiency is important because buildings consume a significant energy amount. The study proposed additive artificial neural networks (AANNs) for predicting energy use in residential buildings. A dataset in hourly resolution was used to evaluate the AANNs model, which was collected f...

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Detalles Bibliográficos
Autores principales: Truong, Ngoc-Son, Ngo, Ngoc-Tri, Pham, Anh-Duc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331294/
https://www.ncbi.nlm.nih.gov/pubmed/34354744
http://dx.doi.org/10.1155/2021/6028573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331294/
https://www.ncbi.nlm.nih.gov/pubmed/34354744
http://dx.doi.org/10.1155/2021/6028573

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