Toward Improved Load Forecasting in Smart Grids: A Robust Deep Ensemble Learning Framework
Author:
Affiliation:
1. Department of Mechanical and Mechatronic Engineering, National Taiwan Ocean University, Keelung City, Taiwan
Funder
National Science and Technology Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/5165411/10566087/10531798.pdf?arnumber=10531798
Reference15 articles.
1. Load Forecasting Techniques for Power System: Research Challenges and Survey
2. Short-term load forecasting via ARMA model identification including non-gaussian process considerations
3. Short-term electricity demand forecasting using double seasonal exponential smoothing
4. Load Forecasting Combining Phase Space Reconstruction and Stacking Ensemble Learning
5. Multi-Scale Convolutional Neural Network With Time-Cognition for Multi-Step Short-Term Load Forecasting
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