Comparison of the influence of biomass, solar-thermal and small hydraulic power on the Spanish electricity prices by means of artificial intelligence techniques.
暂无分享,去创建一个
D. Azofra | E. Martínez | Emilio Jiménez | J. Blanco | J. C. Saenz-Díez | J. Saenz-Díez | D. Azofra | E. Martínez | E. Jiménez | J. Blanco
[1] G. C. Bakos,et al. Techno-economic appraisal of a dish/stirling solar power plant in Greece based on an innovative solar concentrator formed by elastic film , 2013 .
[2] Manuel Zarzo,et al. Modeling the variability of solar radiation data among weather stations by means of principal components analysis , 2011 .
[3] Whei-Min Lin,et al. Electricity price forecasting using Enhanced Probability Neural Network , 2010 .
[4] M. Genoese,et al. The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany , 2008 .
[5] Stine Grenaa Jensen,et al. Simultaneous attainment of energy goals by means of green certificates and emission permits , 2003 .
[6] N. Amjady. Day-ahead price forecasting of electricity markets by a new fuzzy neural network , 2006, IEEE Transactions on Power Systems.
[7] Ian H. Witten,et al. Induction of model trees for predicting continuous classes , 1996 .
[8] Alberto Gómez,et al. Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks , 2008, Eng. Appl. Artif. Intell..
[9] Rubén Abbas,et al. Fresnel-based modular solar fields for performance/cost optimization in solar thermal power plants: A comparison with parabolic trough collectors , 2015 .
[10] Bert Scholtens,et al. The impact of renewable energy on electricity prices in the Netherlands , 2013 .
[11] Kyle Bradbury,et al. Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets , 2014 .
[12] Francesco Grimaccia,et al. Artificial Intelligence Forecast of PV Plant Production for Integration in Smart Energy Systems , 2012 .
[13] G. Perillo. Small Hydroelectric Plants: The Hydraulic Auger , 2013 .
[14] Ángel Luis Trigo-García,et al. Costs and benefits of the renewable production of electricity in Spain , 2013 .
[15] Carlos Batlle,et al. Security of electricity supply at the generation level: Problem analysis , 2012 .
[16] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[17] J. Ramos,et al. Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques , 2007, IEEE Transactions on Power Systems.
[18] J. Contreras,et al. ARIMA models to predict next-day electricity prices , 2002 .
[19] C. Fitzpatrick,et al. Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing , 2014 .
[20] A. J. López,et al. The electricity prices in the European Union. The role of renewable energies and regulatory electric market reforms , 2012 .
[21] Min Gao,et al. Decision framework of solar thermal power plant site selection based on linguistic Choquet operator , 2014 .
[22] Pedro Linares,et al. An ex-post analysis of the effect of renewables and cogeneration on Spanish electricity prices , 2011 .
[23] Marco van Akkeren,et al. A GARCH forecasting model to predict day-ahead electricity prices , 2005, IEEE Transactions on Power Systems.
[24] José M. Martínez-Val,et al. Collateral effects of renewable energies deployment in Spain: Impact on thermal power plants performance and management , 2011 .
[25] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[26] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[27] Ira Horowitz,et al. A review of electricity product differentiation , 2014 .
[28] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[29] Ignacio J. Pérez-Arriaga,et al. Design criteria for implementing a capacity mechanism in deregulated electricity markets , 2008 .
[30] Carlos Batlle,et al. A critical assessment of the different approaches aimed to secure electricity generation supply , 2010 .
[31] Geoff Holmes,et al. Generating Rule Sets from Model Trees , 1999, Australian Joint Conference on Artificial Intelligence.
[32] H. Weigt. Germany's Wind Energy: The Potential for Fossil Capacity Replacement and Cost Saving , 2008 .
[33] Soteris A. Kalogirou,et al. Optimization of solar systems using artificial neural-networks and genetic algorithms , 2004 .
[34] Rosa Espínola,et al. The effect of wind generation and weekday on Spanish electricity spot price forecasting , 2011 .
[35] Jan Broeze,et al. A techno-economic evaluation of a biomass energy conversion park , 2013 .
[36] David A.G. Redpath,et al. A technical and economic analysis of three large scale biomass combustion plants in the UK , 2013 .
[37] P. McSharry,et al. Short-Term Load Forecasting Methods: An Evaluation Based on European Data , 2007, IEEE Transactions on Power Systems.
[38] P. Denholm,et al. Implications of high renewable electricity penetration in the U.S. for water use, greenhouse gas emissions, land-use, and materials supply , 2014 .
[39] Réjean Samson,et al. Assessing the economic value of renewable distributed generation in the Northeastern American market , 2012 .