Nationwide Energy and Peak Demand Forecasting: A Case Study in Thailand
Author:
Affiliation:
1. Thammasat University,Sirindhorn International Institute of Technology,Pathum Thani,Thailand
2. Eindhoven University of Technology,Department of Electrical Engineering,The Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10561890/10561899/10561988.pdf?arnumber=10561988
Reference23 articles.
1. A regression-based approach to short-term system load forecasting
2. Machine Learning-Based Load Forecasting for Nanogrid Peak Load Cost Reduction
3. Mid-term load forecasting of power systems by a new prediction method
4. Mid‐term electricity load forecasting by a new composite method based on optimal learning MLP algorithm
5. Regression-Based Methods for Daily Peak Load Forecasting in South Korea
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