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Short-Term Electricity Load Forecasting Using A Hybrid Cnn-Lstmdeep Learning Model by mvishnushankari is a document available to read on EtoBox.

What is Short-Term Electricity Load Forecasting Using A Hybrid Cnn-Lstmdeep Learning Model about?

The document outlines a project aimed at developing an accurate short-term electricity load forecasting system using a hybrid CNN-LSTM deep learning model. It highlights the importance of electricity load forecasting for power generation planning and grid stability, and discusses the limitations of traditional methods. The proposed approach aims to improve forecasting accuracy by automatically extracting features and capturing long-term dependencies.

Author

mvishnushankari

Language

EN