Group‐based chaos genetic algorithm and non‐linear ensemble of neural networks for short‐term load forecasting
Author:
Affiliation:
1. School of Electrical Engineering and AutomationTianjin UniversityTianjinPeople's Republic of China
2. School of ECECornell UniversityIthacaNYUSA
Funder
National Natural Science Foundation of China
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/iet-gtd.2015.1068
Reference26 articles.
1. Electric load forecasting methods: Tools for decision making
2. Short-Term Load Forecasting With Exponentially Weighted Methods
3. Short-Term Load Forecasting Methods: An Evaluation Based on European Data
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