Week‐ahead daily peak load forecasting using genetic algorithm‐based hybrid convolutional neural network
Author:
Affiliation:
1. Department of Electrical Engineering Chung Yuan Christian University Taoyuan Taiwan
2. Instrument Division of Nuclear Energy Institute of Nuclear Energy Research Taoyuan Taiwan
Funder
Institute of Nuclear Energy Research
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12460
Reference27 articles.
1. ARC algorithm: A novel approach to forecast and manage daily electrical maximum demand
2. Daily Peak Load Forecasting by Taguchi's T Method
3. Distribution feeder‐level day‐ahead peak load forecasting methods and comparative study
4. Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm
5. Daily peak electricity demand forecasting based on an adaptive hybrid two-stage methodology
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