Economic Impact of Price Forecasting Error
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-4975-2_8
Reference22 articles.
1. da Silva Catalão, João Paulo, Sílvio José Pinto Simões Mariano, VMF Mendes, and LAFM Ferreira. 2007. Short-term electricity prices forecasting in a competitive market: A neural network approach. Electric Power Systems Research 77 (10): 1297–1304.
2. Panapakidis, Ioannis P, and Athanasios S Dagoumas. 2016. Day-ahead electricity price forecasting via the application of artificial neural network based models. Applied Energy 172 :132–151.
3. Genscape. 2020. PowerIQTM, electric power data and intelligence for regional power market visibility. https://www.genscape.com/products/power/poweriq. Accessed 10 September 2020.
4. EBW Analytics Group. 2020. Energy market research and analysis. https://ebwanalytics.com/. Accessed 10 September 2020.
5. Ruiz, Carlos, and Antonio J Conejo. 2009. Pool strategy of a producer with endogenous formation of locational marginal prices. IEEE Transactions on Power Systems 24 (4): 1855–1866.
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