An enhanced CNN-LSTM based multi-stage framework for PV and load short-term forecasting: DSO scenarios

An enhanced CNN-LSTM based multi-stage framework for PV and load short-term forecasting: DSO scenarios

The importance of accurate forecasting in the electric sector has grown due to the increasing demand and adoption of high volume of Renewable Energy Sources (RES). Short-term forecasting (STF) using deep learning methods has shown potential for improving forecasting accuracy. However, the accuracy o...

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Bibliographic Details
Main Authors: Mohammad Ahmad A. Al-Ja’afreh, Geev Mokryani, Bilal Amjad
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Energy Reports
Subjects:
CNN-LSTM
Feature generation
PV short-term forecasting
Load short-term forecasting
Distribution system operator
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484723011447

Internet

http://www.sciencedirect.com/science/article/pii/S2352484723011447

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