Energy consumption prediction by using machine learning for smart building: Case study in Malaysia

• Main Authors: M. Shapi, Mel Keytingan, Nor Azuana, Ramli, Awalin, Lilik J.
• Format: Article
• Language: English
• Published: Elsevier 2021
• Subjects: QA Mathematics; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/32877/1/Energy_Consumption_Prediction_by_using_Machine_Lea.pdf; http://umpir.ump.edu.my/id/eprint/32877/; https://doi.org/10.1016/j.dibe.2020.100037; https://doi.org/10.1016/j.dibe.2020.100037

Building Energy Management System (BEMS) has been a substantial topic nowadays due to its importance in reducing energy wastage. However, the performance of one of BEMS applications which is energy consumption prediction has been stagnant due to problems such as low prediction accuracy. Thus, this r...