Long-term load forecasting based on cyclic neural network and nonlinear relationship
Author:
Affiliation:
1. State Grid Fujian Economic Research Institute,Fuzhou,China,350001
Funder
Economic Research Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625771/10625773/10627474.pdf?arnumber=10627474
Reference6 articles.
1. MTS-LSTDM: Multi-Time-Scale Long Short-Term Double Memory for power load forecasting
2. Smart Short-Term Load Forecasting through Coordination of LSTM-Based Models and Feature Engineering Methods during the COVID-19 Pandemic
3. Paraconsistent analysis network for uncertainties treatment in electric power system fault section estimation
4. A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting
5. A Study on Load Forecasting of Distribution Line Based on Ensemble Learning for Mid- to Long-Term Distribution Planning
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