Ultra-Short-Term Spatiotemporal Forecasting of Renewable Resources: An Attention Temporal Convolutional Network-Based Approach
Author:
Affiliation:
1. National Renewable Energy Laboratory, Golden, CO, USA
2. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA
Funder
U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) through the Solar Energy Technology Office
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
https://ieeexplore.ieee.org/ielam/5165411/9865089/9775178-aam.pdf
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1. Exploring Key Weather Factors From Analytical Modeling Toward Improved Solar Power Forecasting
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