Week-ahead Daily Peak Load Forecasting Using Hybrid Convolutional Neural Network

Author:

Hong Ying-Yi,Apolinario Gerard Francesco DG.,Cheng Yung-Han

Publisher

Elsevier BV

Subject

General Medicine

Reference25 articles.

1. Forecasting of peak electricity demand in Mauritius using the non-homogeneous Gompertz diffusion process;Adam;Energy,2011

2. A specification of neural network applications in the load forecasting problem;Asar;IEEE Trans. on Control Systems Technology,1994

3. Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm;Askari;IET Generation, Transmission and Distribution,2020

4. Bureau of Energy, Ministry of Economic Affairs, Taiwan (2017). Impacts of Temperature on Energy Consumption in Taiwan.

5. Distribution feeder-level day-ahead peak load forecasting methods and comparative study;Chen;IET Gener. Transm. Distrib,2018

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