Medium- and long-term power load forecasting model

Power load is an important part of power system, and power load forecasting has an important impact on power system analysis, design and control. With the development of smart micro grid, load forecasting has gradually become an important module in the energy management system, It is “source, networ...

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Bibliographic Details
Published in:E3S web of conferences 2023-01, Vol.375, p.3026
Main Authors: Zhu, Yuning, Xu, Xiaoliang, Lai, Ruoqi, Guo, Hengqing, Jia, Fan
Format: Article
Language:English
Subjects:
Distributed generation
Electrical loads
Energy flow
Energy management
Forecasting
Impact analysis
load forecasting
neural network
Neural networks
polynomial regression
Polynomials
Regression models
Systems analysis
Training
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Summary:Power load is an important part of power system, and power load forecasting has an important impact on power system analysis, design and control. With the development of smart micro grid, load forecasting has gradually become an important module in the energy management system, It is “source, network, load and storage” “An important link in energy flow matching. The staged combined demand forecasting model of power grid based on neural network and polynomial regression is adopted, and judgment conditions are added to the neural network. If the training sample data does not converge in the neural network training process, the neural network forecasting is terminated, and the data is automatically transferred to the polynomial regression model to obtain the forecasting results. This method can be initially used for annual and monthly load forecasting. It is an intelligent micro grid The planning of has laid a certain technical foundation.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202337503026