Author:
Gaamouche Rajae,Chinnici Marta,Lahby Mohamed,Abakarim Youness,Hasnaoui Abdennebi El
Publisher
Springer International Publishing
Reference136 articles.
1. European Commission: 2030 Climate and Energy Framework. https://ec.europa.eu
2. Global energy transformation: a roadmap to 2050 (2019). Available online at https://www.irena.org/publications/2019/Apr/Global-energy-transformation-A-roadmap-to-2050-2019. Accessed August 17, 2020
3. Alkabbani, H., Ahmadian, A., Zhu, Q., Elkamel, A.: Machine learning and metaheuristic methods for renewable power forecasting: a recent review. Front. Chem. Eng. 26 (2021)
4. Zerrahn, A., Schill, W.P., Kemfert, C.: On the economics of electrical storage for variable renewable energy sources. Eur. Econ. Rev. 108, 259–279 (2018)
5. Wang, H., Lei, Z., Zhang, X., Zhou, B., Peng, J.: A review of deep learning for renewable energy forecasting. Energy Convers. Manage. 198, 111799 (2019)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献