Simplified model for the short-term forecasting of heat loads in buildings
A data-driven model is used to predict one-hour ahead heat loads based on present and recent history of weather and heat loads. A computationally inexpensive method is built to deliver load forecasting based on existing data quality and resolution from smart meters. Optimal model formulation is disc...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472202159X |