Enhancing Day-Ahead Cooling Load Prediction in Tropical Commercial Buildings Using Advanced Deep Learning Models: A Case Study in Singapore

Commercial buildings in hot and humid tropical climates rely significantly on cooling systems to maintain optimal occupant comfort. A well-accurate day-ahead load profile prediction plays a pivotal role in planning the energy requirements of cooling systems. Despite the pressing need for effective d...

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Bibliographic Details
Main Authors: Namitha Kondath, Aung Myat, Yong Loke Soh, Whye Loon Tung, Khoo Aik Min Eugene, Hui An
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/14/2/397