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Electricity use in California: past trends and present usage patterns

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  • Brown, Richard E.
  • Koomey, Jonathan G.

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  • Brown, Richard E. & Koomey, Jonathan G., 2003. "Electricity use in California: past trends and present usage patterns," Energy Policy, Elsevier, vol. 31(9), pages 849-864, July.
    • Handle: RePEc:eee:enepol:v:31:y:2003:i:9:p:849-864
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    References listed on IDEAS

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    1. Ahmad Faruqui, Hung-po Chao, Vic Niemeyer, Jeremy Platt and Karl Stahlkopf, 2001. "Analyzing California's Power Crisis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 29-52.
    2. Koomey, Jonathan & Rosenfeld, Arthur H. & Gadgil, Ashok, 1990. "Conservation screening curves to compare efficiency investments to power plants," Energy Policy, Elsevier, vol. 18(8), pages 774-782, October.
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    Cited by:

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    2. Namrye Son, 2021. "Comparison of the Deep Learning Performance for Short-Term Power Load Forecasting," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
    3. Prasad, Ravita D. & Raturi, Atul, 2017. "Grid electricity for Fiji islands: Future supply options and assessment of demand trends," Energy, Elsevier, vol. 119(C), pages 860-871.
    4. Porse, Erik & Derenski, Joshua & Gustafson, Hannah & Elizabeth, Zoe & Pincetl, Stephanie, 2016. "Structural, geographic, and social factors in urban building energy use: Analysis of aggregated account-level consumption data in a megacity," Energy Policy, Elsevier, vol. 96(C), pages 179-192.
    5. Contreras, Sergio & Smith, Wm. Doyle & Fullerton, Thomas M., Jr., 2010. "U.S. commercial electricity consumption," MPRA Paper 34855, University Library of Munich, Germany, revised 22 May 2011.
    6. Wai-Ming To & Peter Ka Chun Lee & Tsz-Ming Lai, 2017. "Modeling of Monthly Residential and Commercial Electricity Consumption Using Nonlinear Seasonal Models—The Case of Hong Kong," Energies, MDPI, vol. 10(7), pages 1-16, June.
    7. Thomas M. Fullerton & George Novela & David Torres & Adam G. Walke, 2015. "Metropolitan Econometric Electric Utility Forecast Accuracy," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 738-745.
    8. Li, Cheng & Hong, Tianzhen & Yan, Da, 2014. "An insight into actual energy use and its drivers in high-performance buildings," Applied Energy, Elsevier, vol. 131(C), pages 394-410.
    9. He, Yaoyao & Qin, Yang & Wang, Shuo & Wang, Xu & Wang, Chao, 2019. "Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network," Applied Energy, Elsevier, vol. 233, pages 565-575.

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