Short term load forecasting based on wavelet decomposition and random forest

2017 ◽  
Author(s):  
Qingping Huang ◽  
Yujiao Li ◽  
Song Liu ◽  
Peng Liu
Keyword(s):  
Random Forest ◽  
Wavelet Decomposition ◽  
Load Forecasting ◽  
Short Term ◽  
Short Term Load Forecasting

Design of a Short-Term Load Forecasting System for Small Hydropower in the Context of Electricity Market

2013 ◽  
Vol 330 ◽  
pp. 178-182
Author(s):  
Shou Qiang Fu ◽  
Min Xiang Huang ◽  
Fei Fei Sun
Keyword(s):  
Electricity Market ◽  
Wavelet Decomposition ◽  
Load Forecasting ◽  
Hydropower Generation ◽  
Processing Load ◽  
Short Term ◽  
Small Hydropower ◽  
Information Monitoring ◽  
Short Term Load Forecasting ◽  
Forecasting System

On the basis of the analysis of influencing factors on small hydropower generation load, considering the characteristics of small hydropower load, this paper presents a short-term load forecasting system for small hydropower in the context of electricity market. It is composed of the following components: information collection and processing, load forecasting, information monitoring. The system uses a method to segment and cluster the load curves, then wavelet decomposition is applied to load data, and a complex forecasting model is taken. Meanwhile, fulfill feedback control through the part of information monitoring, and extended short-term load forecasting is introduced. The system can improve the overall level of short-term load forecasting for small hydropower.

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