Complementary relationship between small-hydropower and increasing penetration of solar photovoltaics: Evidence from CAISO
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DOI: 10.1016/j.renene.2020.04.008
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- Peng, Lu & Liu, Shan & Liu, Rui & Wang, Lin, 2018. "Effective long short-term memory with differential evolution algorithm for electricity price prediction," Energy, Elsevier, vol. 162(C), pages 1301-1314.
- Voyant, Cyril & Notton, Gilles & Kalogirou, Soteris & Nivet, Marie-Laure & Paoli, Christophe & Motte, Fabrice & Fouilloy, Alexis, 2017. "Machine learning methods for solar radiation forecasting: A review," Renewable Energy, Elsevier, vol. 105(C), pages 569-582.
- McCarthy, Ryan & Yang, Christopher & Ogden, Joan M., 2008. "California Baseline Energy Demands to 2050 for Advanced Energy Pathways," Institute of Transportation Studies, Working Paper Series qt3f37c9sx, Institute of Transportation Studies, UC Davis.
- Jager, Henriëtte I. & Efroymson, Rebecca A. & Opperman, Jeff J. & Kelly, Michael R., 2015. "Spatial design principles for sustainable hydropower development in river basins," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 808-816.
- Steve Cicala, 2022.
"Imperfect Markets versus Imperfect Regulation in US Electricity Generation,"
American Economic Review, American Economic Association, vol. 112(2), pages 409-441, February.
- Steve Cicala, 2017. "Imperfect Markets versus Imperfect Regulation in U.S. Electricity Generation," NBER Working Papers 23053, National Bureau of Economic Research, Inc.
- Xianxun Wang & Lihua Chen & Qijuan Chen & Yadong Mei & Hao Wang, 2018. "Model and Analysis of Integrating Wind and PV Power in Remote and Core Areas with Small Hydropower and Pumped Hydropower Storage," Energies, MDPI, vol. 11(12), pages 1-24, December.
- Harrison Fell & Daniel T. Kaffine, 2018. "The Fall of Coal: Joint Impacts of Fuel Prices and Renewables on Generation and Emissions," American Economic Journal: Economic Policy, American Economic Association, vol. 10(2), pages 90-116, May.
- James Bushnell & Kevin Novan, 2018. "Setting with the Sun: The Impacts of Renewable Energy on Wholesale Power Markets," NBER Working Papers 24980, National Bureau of Economic Research, Inc.
- Abbasi, Tasneem & Abbasi, S.A., 2011. "Small hydro and the environmental implications of its extensive utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2134-2143, May.
- Boehlert, Brent & Strzepek, Kenneth M. & Gebretsadik, Yohannes & Swanson, Richard & McCluskey, Alyssa & Neumann, James E. & McFarland, James & Martinich, Jeremy, 2016. "Climate change impacts and greenhouse gas mitigation effects on U.S. hydropower generation," Applied Energy, Elsevier, vol. 183(C), pages 1511-1519.
- Yang, Zhang & Ce, Li & Lian, Li, 2017. "Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods," Applied Energy, Elsevier, vol. 190(C), pages 291-305.
- Li, Song & Goel, Lalit & Wang, Peng, 2016. "An ensemble approach for short-term load forecasting by extreme learning machine," Applied Energy, Elsevier, vol. 170(C), pages 22-29.
- Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
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- Kenfack, Joseph & Nzotcha, Urbain & Voufo, Joseph & Ngohe-Ekam, Paul Salomon & Nsangou, Jean Calvin & Bignom, Blaise, 2021. "Cameroon's hydropower potential and development under the vision of Central Africa power pool (CAPP): A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
- Sasthav, Colin & Oladosu, Gbadebo, 2022. "Environmental design of low-head run-of-river hydropower in the United States: A review of facility design models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Jager, Henriette I. & Griffiths, Natalie A. & Hansen, Carly H. & King, Anthony W. & Matson, Paul G. & Singh, Debjani & Pilla, Rachel M., 2022. "Getting lost tracking the carbon footprint of hydropower," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
- Hansen, Carly & Musa, Mirko & Sasthav, Colin & DeNeale, Scott, 2021. "Hydropower development potential at non-powered dams: Data needs and research gaps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
- Huang, Xiaoxun & Hayashi, Kiichiro & Fujii, Minoru & Villa, Ferdinando & Yamazaki, Yuri & Okazawa, Hiromu, 2023. "Identification of potential locations for small hydropower plant based on resources time footprint: A case study in Dan River Basin, China," Renewable Energy, Elsevier, vol. 205(C), pages 293-304.
- Kandi, Ali & Meirelles, Gustavo & Brentan, Bruno, 2022. "Employing demand prediction in pump as turbine plant design regarding energy recovery enhancement," Renewable Energy, Elsevier, vol. 187(C), pages 223-236.
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Keywords
Small hydro; Solar PV; Bayesian learning;All these keywords.
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