Author:
Chen Qixin,Guo Hongye,Zheng Kedi,Wang Yi
Reference36 articles.
1. Rahimiyan, Morteza, and Luis Baringo. 2016. Strategic bidding for a virtual power plant in the day-ahead and real-time markets: A price-taker robust optimization approach. IEEE Transactions on Power Systems 31 (4): 2676–2687.
2. Toubeau, Jean-François., Jérémie. Bottieau, François Vallée, and Zacharie De Grève. 2019. Deep learning-based multivariate probabilistic forecasting for short-term scheduling in power markets. IEEE Transactions on Power Systems 34 (2): 1203–1215.
3. Baltaoglu, Sevi, Lang Tong, and Qing Zhao. 2019. Algorithmic bidding for virtual trading in electricity markets. IEEE Transactions on Power Systems 34 (1): 535–543.
4. Nicholson, Emma. 2014. Price formation in organized wholesale electricity markets. Technical Report Docket No. AD14-14-000, Federal Energy Regulatory Commission, Washington, DC 20426.
5. Weron, Rafał. 2014. Electricity price forecasting: A review of the state-of-the-art with a look into the future. International Journal of Forecasting 30 (4): 1030–1081.