Machine and deep learning approaches for forecasting electricity price and energy load assessment on real datasets

Author:

El-Azab Heba-Allah I.,Swief R.A.,El-Amary Noha H.ORCID,Temraz H.K.

Publisher

Elsevier BV

Reference69 articles.

1. An adaptive hybrid model for short term electricity price forecasting;Zhang;Appl Energy,2020

2. Rezaei, N., Rajabi, R., & Estebsari, A. (2022). Electricity Price Forecasting Model based on Gated Recurrent Units. 1–5. https://doi.org/10.1109/eeeic/icpseurope54979.2022.9854746.

3. Modeling and Forecasting Electricity Loads;Weron;Modeling and Forecasting Electricity Loads and Prices,2006

4. Single residential load forecasting using deep learning and image encoding techniques;Estebsari;Electronics (switzerland),2020

5. Deep learning based forecasting of individual residential loads using recurrence plots. 2019 IEEE Milan PowerTech;Rajabi;PowerTech,2019

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