Jun 19, 2019 · In this paper, enhanced Deep Learning (DL) method is implemented to resolve the accurate electricity load forecasting problem.

Performs half-hourly electricity price predictions over seasonal and annual periods. Performs detailed appraisal of proposed deep hybrid decomposition model ...

Jul 13, 2019 · In this paper, an artificial neural network (ANN)based methodology is proposed to forecast electricity load and price. The performance of an ANN ...

Half Hourly Electricity Load Forecasting Using Convolutional Neural Network ... Authors: Abdul Basit Majeed Khan; Sajjad Khan; Sayeda Aimal; Muddassar Khan; Bibi ...

Forecasting the electricity consumption for one day to one week ahead is known as STLF, having hourly or half-hourly resolution. STLF mainly serves for day ...

Jan 10, 2024 · I set out to build a deep learning model to improve day-ahead demand forecasting accuracy for electricity market participants.

Half-hourly electricity price prediction with a hybrid convolution neural network-random vector functional link deep learning approach. 2024, Applied Energy.

For example, [25] introduced an innovative approach, leveraging a convolutional neural network (CNN) to perform short-term probabilistic load forecasting, ...

Dec 29, 2022 · The proposed interpretable model improves the prediction accuracy on the big dataset containing energy consumption profiles of multiple customers.

Half Hourly Electricity Load Forecasting Using Convolutional Neural Network · Computer Science, Engineering. IMIS · 2019.