An end-to-end algorithm for predicting missing load data based on waveGAIN
Author:
Affiliation:
1. Xinjiang University,Xinjiang Key Laboratory of Signal Detection and Processing, School of Computer Science and Technology,Urumqi,China,830017
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650838.pdf?arnumber=10650838
Reference31 articles.
1. Deep learning in electrical utility industry: A comprehensive review of a decade of research
2. Short-term load forecasting
3. Electrical load forecasting models: A critical systematic review
4. The Time Series Approach to Short Term Load Forecasting
5. A Review of Deep Learning Methods Applied on Load Forecasting
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