Prediction of energy consumption in campus buildings using long short-term memory

In this paper, Long Short-Term Memory (LSTM) was proposed to predict the energy consumption of an institutional building. A novel energy usage prediction method was demonstrated for daily day-ahead energy consumption by using forecasted weather data. It used weather forecasting data from a local met...

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Detalles Bibliográficos

Principais autores:	Muhammad Faiq, Kim Geok Tan, Chia Pao Liew, Ferdous Hossain, Chih-Ping Tso, Li Li Lim, Adam Yoon Khang Wong, Zulhilmi Mohd Shah
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2023-03-01
Series:	Alexandria Engineering Journal
Assuntos:	Energy consumption Long short-term memory Support vector regression Gaussian process regression Weather forecasting
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S1110016822008006
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