Short-term Load Forecasting by BiLSTM Model Based on Multidimensional Time-domain Feature
Author:
Affiliation:
1. Chongqing Normal University,College of Computer and Information Science,Chongqing,China
Funder
Chongqing Municipal Education Commission
Chongqing Normal University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10498130/10498125/10498827.pdf?arnumber=10498827
Reference14 articles.
1. Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
2. Forecasting methods in energy planning models
3. A fuzzy theory-based machine learning method for workdays and weekends short-term load forecasting
4. Grey and Linear Regression Models in Load Forecasting for Enhanced Smart Grid Management- Smart Grid Modelling
5. Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features;Subbiah,2022
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