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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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
格式:	Artigo
語言:	Inglês
出版:	Elsevier 2023-03-01
叢編:	Alexandria Engineering Journal
主題:	Energy consumption Long short-term memory Support vector regression Gaussian process regression Weather forecasting
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S1110016822008006
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