A Two-Part Feed-in-Tariff for Intermittent Electricity Generation
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[1] Ontario electricity: When prophecy failed but rent collection succeeded , 2017 .
[2] D. Steinberg,et al. Modeling the value of integrated U.S. and Canadian power sector expansion , 2017 .
[3] Werner Antweiler,et al. Cross-border trade in electricity , 2016 .
[4] Pierre-Olivier Pineau,et al. Influence of wind power on hourly electricity prices and GHG (greenhouse gas) emissions: Evidence that congestion matters from Ontario zonal data , 2014 .
[5] Axel Ockenfels,et al. Capacity Market Fundamentals , 2013 .
[6] Phillip Brown,et al. European Union Wind and Solar Electricity Policies: Overview and Considerations , 2013 .
[7] L. Stokes. The politics of renewable energy policies: The case of feed-in tariffs in Ontario, Canada , 2013 .
[8] G. Aj. A New Blueprint for Ontario's Electricity Market , 2013 .
[9] H. Jacobsen,et al. Curtailment of renewable generation: Economic optimality and incentives , 2012 .
[10] Pablo del Río,et al. The dynamic efficiency of feed-in tariffs: The impact of different design elements , 2012 .
[11] Paul L. Joskow,et al. Creating a Smarter U.S. Electricity Grid , 2012 .
[12] B. Dunn,et al. Electrical Energy Storage for the Grid: A Battery of Choices , 2011, Science.
[13] Adonis Yatchew,et al. Ontario feed-in-tariff programs , 2011 .
[14] R. Green,et al. The long-term impact of wind power on electricity prices and generating capacity , 2011, 2011 IEEE Power and Energy Society General Meeting.
[15] G. Brunekreeft,et al. How to deal with negative power price spikes?--Flexible voluntary curtailment agreements for large-scale integration of wind , 2010 .
[16] S. Fink,et al. Examples of Wind Energy Curtailment Practices , 2010 .
[17] Y. Gagnon,et al. An analysis of feed-in tariff remuneration models: Implications for renewable energy investment , 2010 .
[18] Erik Ela. Using Economics to Determine the Efficient Curtailment of Wind Energy , 2009 .
[19] 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 .
[20] Karsten Neuhoff,et al. Comparison of feed-in tariff, quota and auction mechanisms to support wind power development , 2008 .
[21] J. Lesser,et al. Design of an economically efficient feed-in tariff structure for renewable energy development , 2008 .
[22] Mario Ragwitz,et al. Evaluation of different feed-in tariff design options – Best practice paper for the International Feed-In Cooperation , 2008 .
[23] Knut Einar Rosendahl,et al. Climate policies and learning by doing: Impacts and timing of technology subsidies , 2007 .
[24] Chi-Keung Woo,et al. Designing Pareto-superior demand-response rate options , 2006 .
[25] Marc J. Melitz. When and how should infant industries be protected , 2005 .
[26] K. Neuhoff. Large-Scale Deployment of Renewables for Electricity Generation , 2005 .
[27] I. Rowlands. Envisaging feed-in tariffs for solar photovoltaic electricity: European lessons for Canada , 2005 .
[28] Wim Turkenburg,et al. Global experience curves for wind farms , 2005 .
[29] Jean Tirole,et al. Reliability and Competitive Electricity Markets , 2004 .
[30] Philippe Menanteau,et al. Prices versus quantities: choosing policies for promoting the development of renewable energy , 2003 .
[31] Hung-po Chao,et al. Multi-Dimensional Procurement Auctions for Power Reserves: Robust Incentive-Compatible Scoring and Settlement Rules , 2002 .
[32] I. Horowitz,et al. The Hopkinson tariff alternative to TOU rates in the Israel Electric Corporation , 2002 .
[33] T. Rutherford,et al. Climate Policies and Induced Technological Change: Which to Choose the Carrot or the Stick? , 2001 .
[34] M.D. Anderson,et al. Dynamic pricing [of electricity] , 2000, IEEE Potentials.
[35] Dewey Seeto,et al. Time-of-use rates vs. Hopkinson tariffs redux: an analysis of the choice of rate structures in a regulated electricity distribution company , 1997 .
[36] F. Branco. The Design of Multidimensional Auctions , 1997 .
[37] Dieter Bos. Peak-Load-Pricing , 2019, Optimierung von Versorgungsnetzen.