Seasonal electric vehicle forecasting model based on machine learning and deep learning techniques

Author:

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

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference82 articles.

1. Review of building energy performance certification schemes towards future improvement;Li;Renew Sustain Energy Rev,2019

2. International energy outlook 2011: Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, U.S. Department of Energy, Washington, DC; 2011.

3. AustralianEnergyMarketCommission(AEMC). Market arrangements for electric and natural gas vehicles. Approach paper, Sydney;2011.

4. European Commission Directive 2009/28/EC of the European Parliament and of the Council of 23 April 2009 on the promotion of the use of energy from renewable sources and amending and subsequently repealing directives 2001/77/EC and 2003/30/EC (2009). Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:140:0016:0062:en:PDF (accessed on 19 April 2022).

5. EEA Report No 20/2018,2018

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