Short‐term load forecasting utilizing wavelet transform and time series considering accuracy feedback
Author:
Affiliation:
1. Department of Electrical Engineering, College of Electrical EngineeringZhejiang University Hangzhou China
2. Economic and Technological Research Institute, State Grid Zhejiang Electric Power Co., Ltd Hangzhou China
Funder
China Postdoctoral Science Foundation
National Natural Science Foundation of China
State Grid Corporation of China
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12455
Reference35 articles.
1. Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data
2. Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem
3. Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
4. Comparative models for electrical load forecasting
5. A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community
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