An Electric Load Forecasting Model Based on BP Neural Network and Improved Bat Algorithm Hybridized with Extremal Optimization

2019 ◽  
Author(s):  
Yi-Yuan Huang ◽  
Min-Rong Chen ◽  
Liu-Qing Yang ◽  
Kang-Di Lu ◽  
Guo-Qiang Zeng
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Load Forecasting ◽  
Bat Algorithm ◽  
Forecasting Model ◽  
Electric Load ◽  
Extremal Optimization ◽  
Model Based ◽  
Electric Load Forecasting

Public Buildings Baseline Load Forecasting Model

2011 ◽  
Vol 403-408 ◽  
pp. 2098-2101
Author(s):  
Qing Ma ◽  
Qi Qiang Li
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Bp Neural Network ◽  
Historical Data ◽  
Load Forecasting ◽  
Forecasting Model ◽  
Adjustment Factor ◽  
Public Buildings ◽  
The Public ◽  
Model Based

Based on the fact that public buildings baseline load is hard to predict effectively,a kind of BP neural networks forecasting model based on FCM optimization preprocesses which combines with adjustment factor is proposed. The method which adopts method of the FCM arithmetic divides the complicated historical data into gather of multiple proxy event day populations. Then, based on BP neural network forecasting model regulated by adjustment factor, public buildings baseline load forecasting model is introduced. The prediction results show that the prediction precision of the model is higher than that of linearity model, and it can predict the public buildings baseline load effectively.

An incremental electric load forecasting model based on support vector regression

Energy ◽  
2016 ◽  
Vol 113 ◽  
pp. 796-808 ◽  
Author(s):  
YouLong Yang ◽  
JinXing Che ◽  
YanYing Li ◽  
YanJun Zhao ◽  
SuLing Zhu
Keyword(s):  
Support Vector Regression ◽  
Load Forecasting ◽  
Support Vector ◽  
Forecasting Model ◽  
Electric Load ◽  
Model Based ◽  
Electric Load Forecasting
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