Short-term Power Load Forecasting Based on Gate Recurrent Unit Network and Cloud Computing Platform
Author:
Affiliation:
1. Information Center, Zhejiang University, Hangzhou, China
2. China Electric Power Research Institute (Nanjing), Nanjing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3424978.3425007
Reference25 articles.
1. Short term load forecasting in electric power systems: A comparison of ARMA models and extended wiener filtering
2. Comparative study of wavelet-ARIMA and wavelet-ANN models for temperature time series data in northeastern Bangladesh
3. Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems
4. Using adaptive network based fuzzy inference system to forecast regional electricity loads
5. Particle swarm optimisation aided least‐square support vector machine for load forecast with spikes
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