Application of combining data preprocessing with wavelet filtering for GCN-LSTM network with HHO optimization algorithm in load forecasting model
Số trang: 10
Loại file: pdf
Dung lượng: 1.56 MB
Lượt xem: 4
Lượt tải: 0
Xem trước 2 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.
Nội dung trích xuất từ tài liệu:
Application of combining data preprocessing with wavelet filtering for GCN-LSTM network with HHO optimization algorithm in load forecasting model
Nội dung trích xuất từ tài liệu:
Application of combining data preprocessing with wavelet filtering for GCN-LSTM network with HHO optimization algorithm in load forecasting model
Tìm kiếm theo từ khóa liên quan:
Graph convolution network Long short-term memory Load forecasting Wavelet filter Harris hawks optimizationGợi ý tài liệu liên quan:
-
An ontology-based sentiment analysis ap-proach to discovering hidden affected objects
5 trang 33 0 0 -
The combination of face identification and action recognition for fall detection
8 trang 33 0 0 -
Compare the optimal algorithms for Wavenet applications in load forecasting
9 trang 32 0 0 -
Phương pháp cải tiến LSTM dựa trên đặc trưng thống kê trong phát hiện DGA botnet
10 trang 32 0 0 -
Short-term load forecasting using long short-term memory based on EVN NLDC Data
4 trang 25 0 0 -
Ciolence detection by pretrained modules with different deep learning approaches
22 trang 20 0 0 -
Sentiment analysis using long short-term memory recurrent neural network
8 trang 18 0 0 -
Long short-term memory for nonlinear static analysis of functionally graded plates
17 trang 14 0 0 -
Short-term forecasting of electrical load demand in Hanoi based on extreme learning machine model
10 trang 6 0 0