IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v24y2002i1p55-70.html
   My bibliography  Save this item

Temperature and seasonality influences on Spanish electricity load

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
  2. Shively, Thomas S. & Walker, Stephen G. & Damien, Paul, 2011. "Nonparametric function estimation subject to monotonicity, convexity and other shape constraints," Journal of Econometrics, Elsevier, vol. 161(2), pages 166-181, April.
  3. Hirano, Y. & Fujita, T., 2012. "Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo," Energy, Elsevier, vol. 37(1), pages 371-383.
  4. Barry Anderson & Corrado Di Maria, 2011. "Abatement and Allocation in the Pilot Phase of the EU ETS," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 83-103, January.
  5. Dampeyrou, Charles & Goichon, Antoine & Ghienne, Martin & Tschannen, Valentin & Schaack, Sofiane, 2024. "Unsupervised separation of the thermosensitive contribution in the power consumption at a country scale," Applied Energy, Elsevier, vol. 363(C).
  6. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Bunn, Derek, 2016. "Weather and market specificities in the regional transmission of renewable energy price effects," Energy, Elsevier, vol. 114(C), pages 188-200.
  7. Do, Linh Phuong Catherine & Lin, Kuan-Heng & Molnár, Peter, 2016. "Electricity consumption modelling: A case of Germany," Economic Modelling, Elsevier, vol. 55(C), pages 92-101.
  8. Kahia, Montassar & Moulahi, Tarek & Mahfoudhi, Sami & Boubaker, Sabri & Omri, Anis, 2022. "A machine learning process for examining the linkage among disaggregated energy consumption, economic growth, and environmental degradation," Resources Policy, Elsevier, vol. 79(C).
  9. Janusz Sowinski, 2021. "The Impact of the Selection of Exogenous Variables in the ANFIS Model on the Results of the Daily Load Forecast in the Power Company," Energies, MDPI, vol. 14(2), pages 1-18, January.
  10. Thatcher, Marcus J., 2007. "Modelling changes to electricity demand load duration curves as a consequence of predicted climate change for Australia," Energy, Elsevier, vol. 32(9), pages 1647-1659.
  11. repec:hum:wpaper:sfb649dp2012-067 is not listed on IDEAS
  12. Rafat Mahmood & Sundus Saleemi & Sajid Amin, 2016. "Impact of Climate Change on Electricity Demand: A Case Study of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(1), pages 29-47.
  13. Kabdrakhmanova, Marzhan & Memon, Shazim Ali & Saurbayeva, Assemgul, 2021. "Implementation of the panel data regression analysis in PCM integrated buildings located in a humid subtropical climate," Energy, Elsevier, vol. 237(C).
  14. Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  15. Nikkinen, Jussi & Rothovius, Timo, 2019. "Market specific seasonal trading behavior in NASDAQ OMX electricity options," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 16-29.
  16. Gupta, Eshita, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A semi-parametric variable coefficient approach," Energy Economics, Elsevier, vol. 34(5), pages 1407-1421.
  17. Bašta, Milan & Helman, Karel, 2013. "Scale-specific importance of weather variables for explanation of variations of electricity consumption: The case of Prague, Czech Republic," Energy Economics, Elsevier, vol. 40(C), pages 503-514.
  18. Do, Linh Phuong Catherine & Lyócsa, Štefan & Molnár, Peter, 2021. "Residual electricity demand: An empirical investigation," Applied Energy, Elsevier, vol. 283(C).
  19. Michael Scott & James Dirks & Katherine Cort, 2008. "The value of energy efficiency programs for US residential and commercial buildings in a warmer world," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(4), pages 307-339, May.
  20. Martín Bordon Lesme & Jaume Freire-González & Emilio Padilla Rosa, 2020. "The Direct Rebound Effect of Electricity Energy Services in Spanish Households: Evidence from Error Correction Model and System GMM estimates," Working Papers wpdea2002, Department of Applied Economics at Universitat Autonoma of Barcelona.
  21. Potocnik, Primoz & Thaler, Marko & Govekar, Edvard & Grabec, Igor & Poredos, Alojz, 2007. "Forecasting risks of natural gas consumption in Slovenia," Energy Policy, Elsevier, vol. 35(8), pages 4271-4282, August.
  22. Torgeir Ericson, 2006. "Time-differentiated pricing and direct load control of residential electricity consumption," Discussion Papers 461, Statistics Norway, Research Department.
  23. Eslahi, Mohammadehsan & Mazza, Paolo, 2023. "Can weather variables and electricity demand predict carbon emissions allowances prices? Evidence from the first three phases of the EU ETS," Ecological Economics, Elsevier, vol. 214(C).
  24. Cancelo, José Ramón & Espasa, Antoni & Grafe, Rosmarie, 2008. "Forecasting the electricity load from one day to one week ahead for the Spanish system operator," International Journal of Forecasting, Elsevier, vol. 24(4), pages 588-602.
  25. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2016. "A new approach to modeling the effects of temperature fluctuations on monthly electricity demand," Energy Economics, Elsevier, vol. 60(C), pages 206-216.
  26. Sophie Chemarin & Andreas Heinen & Eric Strobl, 2008. "Electricity, carbon and weather in France: where do we stand ?," Working Papers hal-00340171, HAL.
  27. Gertrud Hatvani-Kovacs & John Boland, 2015. "Retrofitting Precincts for Heatwave Resilience: Challenges and Barriers in Australian Context," Challenges, MDPI, vol. 6(1), pages 1-23, January.
  28. Kim, Jee Young & Oh, Hyungna & Choi, Kyung-Mee, 2019. "Why Are Peak Loads Observed during Winter Months in Korea?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 41(1), pages 43-58.
  29. Pielow, Amy & Sioshansi, Ramteen & Roberts, Matthew C., 2012. "Modeling short-run electricity demand with long-term growth rates and consumer price elasticity in commercial and industrial sectors," Energy, Elsevier, vol. 46(1), pages 533-540.
  30. Duso, Tomaso & Szücs, Florian & Böckers, Veit, 2020. "Abuse of dominance and antitrust enforcement in the German electricity market," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 92, pages 1-40.
  31. Hipòlit Torró, 2007. "Forecasting Weekly Electricity Prices at Nord Pool," Working Papers 2007.88, Fondazione Eni Enrico Mattei.
  32. Stasinopoulos, Georgios, 2009. "Economic impacts of climate change on cities: A survey of the existing literature," HWWI Policy Papers 1-18, Hamburg Institute of International Economics (HWWI).
  33. Mosquera-López, Stephanía & Uribe, Jorge M. & Manotas-Duque, Diego F., 2018. "Effect of stopping hydroelectric power generation on the dynamics of electricity prices: An event study approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 456-467.
  34. Bramer, L.M. & Rounds, J. & Burleyson, C.D. & Fortin, D. & Hathaway, J. & Rice, J. & Kraucunas, I., 2017. "Evaluating penalized logistic regression models to predict Heat-Related Electric grid stress days," Applied Energy, Elsevier, vol. 205(C), pages 1408-1418.
  35. Miguel A. Jaramillo-Morán & Agustín García-García, 2019. "Applying Artificial Neural Networks to Forecast European Union Allowance Prices: The Effect of Information from Pollutant-Related Sectors," Energies, MDPI, vol. 12(23), pages 1-18, November.
  36. You, Siming & Neoh, Koon Gee & Tong, Yen Wah & Dai, Yanjun & Wang, Chi-Hwa, 2017. "Variation of household electricity consumption and potential impact of outdoor PM2.5 concentration: A comparison between Singapore and Shanghai," Applied Energy, Elsevier, vol. 188(C), pages 475-484.
  37. González Grandón, T. & Schwenzer, J. & Steens, T. & Breuing, J., 2024. "Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine," Applied Energy, Elsevier, vol. 355(C).
  38. Hipòlit Torró & Vicente Meneu & Enric Valor, 2003. "Single Factor Stochastic Models with Seasonality Applied to Underlying Weather Derivatives Variables," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 4(4), pages 6-17, March.
  39. Kim, Myung Suk, 2013. "Modeling special-day effects for forecasting intraday electricity demand," European Journal of Operational Research, Elsevier, vol. 230(1), pages 170-180.
  40. Ericson, Torgeir, 2009. "Direct load control of residential water heaters," Energy Policy, Elsevier, vol. 37(9), pages 3502-3512, September.
  41. Moral-Carcedo, Julián & Pérez-García, Julián, 2015. "Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain," Applied Energy, Elsevier, vol. 142(C), pages 407-425.
  42. repec:dau:papers:123456789/8180 is not listed on IDEAS
  43. Bessec, Marie & Fouquau, Julien, 2008. "The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach," Energy Economics, Elsevier, vol. 30(5), pages 2705-2721, September.
  44. Bosello, Francesco & Roson, Roberto, 2006. "Climate Change, Energy Demand and Market Power in a General Equilibrium Model of the World Economy," Conference papers 331448, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  45. Miller, J. Isaac & Nam, Kyungsik, 2022. "Modeling peak electricity demand: A semiparametric approach using weather-driven cross-temperature response functions," Energy Economics, Elsevier, vol. 114(C).
  46. Å tulec, Ivana & Petljak, Kristina & Naletina, Dora, 2019. "Weather impact on retail sales: How can weather derivatives help with adverse weather deviations?," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 1-10.
  47. Kim, Young Se, 2015. "Electricity consumption and economic development: Are countries converging to a common trend?," Energy Economics, Elsevier, vol. 49(C), pages 192-202.
  48. Wang, Yaoping & Bielicki, Jeffrey M., 2018. "Acclimation and the response of hourly electricity loads to meteorological variables," Energy, Elsevier, vol. 142(C), pages 473-485.
  49. Hekkenberg, M. & Moll, H.C. & Uiterkamp, A.J.M. Schoot, 2009. "Dynamic temperature dependence patterns in future energy demand models in the context of climate change," Energy, Elsevier, vol. 34(11), pages 1797-1806.
  50. Katerina Tsikaloudaki & Kostas Laskos & Dimitrios Bikas, 2011. "On the Establishment of Climatic Zones in Europe with Regard to the Energy Performance of Buildings," Energies, MDPI, vol. 5(1), pages 1-13, December.
  51. Youn, Hyungho & Jin, Hyun Joung, 2016. "The effects of progressive pricing on household electricity use," Journal of Policy Modeling, Elsevier, vol. 38(6), pages 1078-1088.
  52. Andrea Bigano & Francesco Bosello & Giuseppe Marano, 2006. "Energy Demand and Temperature: A Dynamic Panel Analysis," Working Papers 2006.112, Fondazione Eni Enrico Mattei.
  53. Apadula, Francesco & Bassini, Alessandra & Elli, Alberto & Scapin, Simone, 2012. "Relationships between meteorological variables and monthly electricity demand," Applied Energy, Elsevier, vol. 98(C), pages 346-356.
  54. Wang, Siyan & Sun, Xun & Lall, Upmanu, 2017. "A hierarchical Bayesian regression model for predicting summer residential electricity demand across the U.S.A," Energy, Elsevier, vol. 140(P1), pages 601-611.
  55. Bajo-Buenestado, Raúl, 2021. "Operating reserve demand curve, scarcity pricing and intermittent generation: Lessons from the Texas ERCOT experience," Energy Policy, Elsevier, vol. 149(C).
  56. Jaume Rosselló Nadal & Antoni Riera Font & Vivian Cardenas, 2008. "The impact of weather variability on British outbound flows," CRE Working Papers (Documents de treball del CRE) 2008/3, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
  57. Bakhat, Mohcine & Rosselló, Jaume, 2011. "Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain," Energy Economics, Elsevier, vol. 33(3), pages 437-444, May.
  58. Eshita Gupta, 2016. "The Effect Of Development On The Climate Sensitivity Of Electricity Demand In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-49, May.
  59. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach," Energy Economics, Elsevier, vol. 33(5), pages 896-902, September.
  60. Lanlan Li & Xinpei Song & Jingjing Li & Ke Li & Jianling Jiao, 2023. "The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?," Climatic Change, Springer, vol. 176(3), pages 1-26, March.
  61. Jaume Rosselló Nadal & Mohcine Bakhat, 2009. "A new approach to estimating tourism-induced electricity consumption," CRE Working Papers (Documents de treball del CRE) 2009/6, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
  62. Arora, Siddharth & Taylor, James W., 2018. "Rule-based autoregressive moving average models for forecasting load on special days: A case study for France," European Journal of Operational Research, Elsevier, vol. 266(1), pages 259-268.
  63. Jones, Andrew & Nock, Destenie & Samaras, Constantine & Qiu, Yueming (Lucy) & Xing, Bo, 2023. "Climate change impacts on future residential electricity consumption and energy burden: A case study in Phoenix, Arizona," Energy Policy, Elsevier, vol. 183(C).
  64. Emilio J. Palacios-Garcia & Antonio Moreno-Muñoz & Isabel Santiago & Isabel M. Moreno-Garcia & María I. Milanés-Montero, 2017. "PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling," Energies, MDPI, vol. 10(10), pages 1-22, September.
  65. Yau, Y.H. & Pean, H.L., 2011. "The climate change impact on air conditioner system and reliability in Malaysia—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4939-4949.
  66. OrtizBeviá, M.J. & RuizdeElvira, A. & Alvarez-García, F.J., 2014. "The influence of meteorological variability on the mid-term evolution of the electricity load," Energy, Elsevier, vol. 76(C), pages 850-856.
  67. Jianhua Huang & Kevin Robert Gurney, 2016. "Impact of climate change on U.S. building energy demand: sensitivity to spatiotemporal scales, balance point temperature, and population distribution," Climatic Change, Springer, vol. 137(1), pages 171-185, July.
  68. Harish, Santosh & Singh, Nishmeet & Tongia, Rahul, 2020. "Impact of temperature on electricity demand: Evidence from Delhi and Indian states," Energy Policy, Elsevier, vol. 140(C).
  69. Mirasgedis, S. & Sarafidis, Y. & Georgopoulou, E. & Lalas, D.P. & Moschovits, M. & Karagiannis, F. & Papakonstantinou, D., 2006. "Models for mid-term electricity demand forecasting incorporating weather influences," Energy, Elsevier, vol. 31(2), pages 208-227.
  70. Reza Fazeli & Brynhildur Davidsdottir & Jonas Hlynur Hallgrimsson, 2016. "Climate Impact On Energy Demand For Space Heating In Iceland," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-23, May.
  71. Óscar Trull & J. Carlos García-Díaz & Alicia Troncoso, 2019. "Application of Discrete-Interval Moving Seasonalities to Spanish Electricity Demand Forecasting during Easter," Energies, MDPI, vol. 12(6), pages 1-16, March.
  72. Torgeir Ericson, 2006. "Direct load control of residential water heaters," Discussion Papers 479, Statistics Norway, Research Department.
  73. William Yu & Tooraj Jamasb & Michael Pollitt, 2008. "Does Weather Explain the Cost and Quality? An Analysis of UK Electricity Distribution Companies," Working Papers EPRG 0827, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  74. Blazquez Leticia & Nina Boogen & Massimo Filippini, 2012. "Residential electricity demand for Spain: new empirical evidence using aggregated data," CEPE Working paper series 12-82, CEPE Center for Energy Policy and Economics, ETH Zurich.
  75. Abdou Latif Bonkaney & Babatunde J. Abiodun & Ibrah Seidou Sanda & Ahmed A. Balogun, 2023. "Potential impact of global warming on electricity demand in Niger," Climatic Change, Springer, vol. 176(4), pages 1-22, April.
  76. Chabouni, Naima & Belarbi, Yacine & Benhassine, Wassim, 2020. "Electricity load dynamics, temperature and seasonality Nexus in Algeria," Energy, Elsevier, vol. 200(C).
  77. Mestekemper, Thomas & Kauermann, Göran & Smith, Michael S., 2013. "A comparison of periodic autoregressive and dynamic factor models in intraday energy demand forecasting," International Journal of Forecasting, Elsevier, vol. 29(1), pages 1-12.
  78. De Felice, Matteo & Alessandri, Andrea & Catalano, Franco, 2015. "Seasonal climate forecasts for medium-term electricity demand forecasting," Applied Energy, Elsevier, vol. 137(C), pages 435-444.
  79. Mô Dolores Furió Ortega & Julio Lucia López, "undated". "Congestion management rules and trading strategies," Studies on the Spanish Economy 222, FEDEA.
  80. Miller, Reid & Golab, Lukasz & Rosenberg, Catherine, 2017. "Modelling weather effects for impact analysis of residential time-of-use electricity pricing," Energy Policy, Elsevier, vol. 105(C), pages 534-546.
  81. Saehong Park & Seunghyoung Ryu & Yohwan Choi & Jihyo Kim & Hongseok Kim, 2015. "Data-Driven Baseline Estimation of Residential Buildings for Demand Response," Energies, MDPI, vol. 8(9), pages 1-21, September.
  82. Oscar Trull & Angel Peiró-Signes & J. Carlos García-Díaz, 2019. "Electricity Forecasting Improvement in a Destination Using Tourism Indicators," Sustainability, MDPI, vol. 11(13), pages 1-16, July.
  83. Kang, Jieyi & Reiner, David M., 2022. "What is the effect of weather on household electricity consumption? Empirical evidence from Ireland," Energy Economics, Elsevier, vol. 111(C).
  84. De Souza Ferreira Filho, Joaquim Bento, 1999. "Trade Creation X Trade Diversion: Evidences from the GTAP Model in the Mercosur Integration Process," Conference papers 330889, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  85. Dicembrino, Claudio & Trovato, Giovanni, 2013. "Structural Breaks, Price and Income Elasticity, and Forecast of the Monthly Italian Electricity Demand," MPRA Paper 47653, University Library of Munich, Germany.
  86. Ruth, Matthias & Lin, Ai-Chen, 2006. "Regional energy demand and adaptations to climate change: Methodology and application to the state of Maryland, USA," Energy Policy, Elsevier, vol. 34(17), pages 2820-2833, November.
  87. Furió, Dolores & Moreno-del-Castillo, Javier, 2024. "Dynamic demand response to electricity prices: Evidence from the Spanish retail market," Utilities Policy, Elsevier, vol. 88(C).
  88. Yue-Hua Dai & Wei-Xing Zhou, 2017. "Temporal and spatial correlation patterns of air pollutants in Chinese cities," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-24, August.
  89. Huang, Yongfu, 2014. "Drivers of rising global energy demand: The importance of spatial lag and error dependence," Energy, Elsevier, vol. 76(C), pages 254-263.
  90. Vehvilainen, Iivo & Pyykkonen, Tuomas, 2005. "Stochastic factor model for electricity spot price--the case of the Nordic market," Energy Economics, Elsevier, vol. 27(2), pages 351-367, March.
  91. Yu, William & Jamasb, Tooraj & Pollitt, Michael, 2009. "Does weather explain cost and quality performance? An analysis of UK electricity distribution companies," Energy Policy, Elsevier, vol. 37(11), pages 4177-4188, November.
  92. Cartea, Álvaro & Villaplana, Pablo, 2008. "Spot price modeling and the valuation of electricity forward contracts: The role of demand and capacity," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2502-2519, December.
  93. Fazeli, Reza & Davidsdottir, Brynhildur & Hallgrimsson, Jonas Hlynur, 2016. "Residential energy demand for space heating in the Nordic countries: Accounting for interfuel substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1210-1226.
  94. Ihara, T. & Genchi, Y. & Sato, T. & Yamaguchi, K. & Endo, Y., 2008. "City-block-scale sensitivity of electricity consumption to air temperature and air humidity in business districts of Tokyo, Japan," Energy, Elsevier, vol. 33(11), pages 1634-1645.
  95. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
  96. Ekonomou, L., 2010. "Greek long-term energy consumption prediction using artificial neural networks," Energy, Elsevier, vol. 35(2), pages 512-517.
  97. Kang, J. & Reiner, D., 2021. "Machine Learning on residential electricity consumption: Which households are more responsive to weather?," Cambridge Working Papers in Economics 2142, Faculty of Economics, University of Cambridge.
  98. Magnano, L. & Boland, J.W., 2007. "Generation of synthetic sequences of electricity demand: Application in South Australia," Energy, Elsevier, vol. 32(11), pages 2230-2243.
  99. Bianchi, Robert J. & Drew, Michael E. & Fan, John Hua, 2016. "Commodities momentum: A behavioral perspective," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 133-150.
  100. Cerqueira, Pedro André & Pereira da Silva, Patrícia, 2023. "Assessment of the impact of COVID-19 lockdown measures on electricity consumption – Evidence from Portugal and Spain," Energy, Elsevier, vol. 282(C).
  101. Hekkenberg, M. & Benders, R.M.J. & Moll, H.C. & Schoot Uiterkamp, A.J.M., 2009. "Indications for a changing electricity demand pattern: The temperature dependence of electricity demand in the Netherlands," Energy Policy, Elsevier, vol. 37(4), pages 1542-1551, April.
  102. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
  103. Craig, Christopher A. & Feng, Song, 2017. "Exploring utility organization electricity generation, residential electricity consumption, and energy efficiency: A climatic approach," Applied Energy, Elsevier, vol. 185(P1), pages 779-790.
  104. Lo Magno, Giovanni L. & Ferrante, Mauro & De Cantis, Stefano, 2017. "A new index for measuring seasonality: A transportation cost approach," Mathematical Social Sciences, Elsevier, vol. 88(C), pages 55-65.
  105. Trapero, Juan R. & Pedregal, Diego J., 2009. "Frequency domain methods applied to forecasting electricity markets," Energy Economics, Elsevier, vol. 31(5), pages 727-735, September.
  106. Sarah E. Heaps & Malcolm Farrow & Kevin J. Wilson, 2020. "Identifying the effect of public holidays on daily demand for gas," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 471-492, February.
  107. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
  108. Li, Z. & Hurn, A.S. & Clements, A.E., 2017. "Forecasting quantiles of day-ahead electricity load," Energy Economics, Elsevier, vol. 67(C), pages 60-71.
  109. Paniagua-Tineo, A. & Salcedo-Sanz, S. & Casanova-Mateo, C. & Ortiz-García, E.G. & Cony, M.A. & Hernández-Martín, E., 2011. "Prediction of daily maximum temperature using a support vector regression algorithm," Renewable Energy, Elsevier, vol. 36(11), pages 3054-3060.
  110. Salari, Mahmoud & Javid, Roxana J., 2016. "Residential energy demand in the United States: Analysis using static and dynamic approaches," Energy Policy, Elsevier, vol. 98(C), pages 637-649.
  111. Torro, Hipolit, 2009. "Assessing the influence of spot price predictability on electricity futures hedging," MPRA Paper 18892, University Library of Munich, Germany.
  112. Richard Tol, 2013. "The economic impact of climate change in the 20th and 21st centuries," Climatic Change, Springer, vol. 117(4), pages 795-808, April.
  113. Ritter, Matthias, 2012. "Can the market forecast the weather better than meteorologists?," SFB 649 Discussion Papers 2012-067, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  114. Xu, Peng & Huang, Yu Joe & Miller, Norman & Schlegel, Nicole & Shen, Pengyuan, 2012. "Impacts of climate change on building heating and cooling energy patterns in California," Energy, Elsevier, vol. 44(1), pages 792-804.
  115. Furió, Dolores & Lucia, Julio J., 2009. "Congestion management rules and trading strategies in the Spanish electricity market," Energy Economics, Elsevier, vol. 31(1), pages 48-60, January.
  116. Blázquez, Leticia & Boogen, Nina & Filippini, Massimo, 2013. "Residential electricity demand in Spain: New empirical evidence using aggregate data," Energy Economics, Elsevier, vol. 36(C), pages 648-657.
  117. Pilli-Sihvola, Karoliina & Aatola, Piia & Ollikainen, Markku & Tuomenvirta, Heikki, 2010. "Climate change and electricity consumption--Witnessing increasing or decreasing use and costs?," Energy Policy, Elsevier, vol. 38(5), pages 2409-2419, May.
  118. Palacios-Garcia, E.J. & Moreno-Munoz, A. & Santiago, I. & Flores-Arias, J.M. & Bellido-Outeirino, F.J. & Moreno-Garcia, I.M., 2018. "A stochastic modelling and simulation approach to heating and cooling electricity consumption in the residential sector," Energy, Elsevier, vol. 144(C), pages 1080-1091.
  119. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
  120. Tyralis, Hristos & Karakatsanis, Georgios & Tzouka, Katerina & Mamassis, Nikos, 2017. "Exploratory data analysis of the electrical energy demand in the time domain in Greece," Energy, Elsevier, vol. 134(C), pages 902-918.
  121. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
  122. Jenny Cifuentes & Geovanny Marulanda & Antonio Bello & Javier Reneses, 2020. "Air Temperature Forecasting Using Machine Learning Techniques: A Review," Energies, MDPI, vol. 13(16), pages 1-28, August.
  123. Samuel Domínguez-Amarillo & Jesica Fernández-Agüera & Juan José Sendra & Susan Roaf, 2018. "Rethinking User Behaviour Comfort Patterns in the South of Spain—What Users Really Do," Sustainability, MDPI, vol. 10(12), pages 1-18, November.
  124. Räsänen, Teemu & Voukantsis, Dimitrios & Niska, Harri & Karatzas, Kostas & Kolehmainen, Mikko, 2010. "Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data," Applied Energy, Elsevier, vol. 87(11), pages 3538-3545, November.
  125. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
  126. Yoosoon Chang & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand," Working Papers 1409, Department of Economics, University of Missouri.
  127. Derumigny Alexis & Fermanian Jean-David, 2019. "On kernel-based estimation of conditional Kendall’s tau: finite-distance bounds and asymptotic behavior," Dependence Modeling, De Gruyter, vol. 7(1), pages 292-321, January.
  128. Bianchi, Robert J. & Drew, Michael E. & Fan, John Hua, 2015. "Combining momentum with reversal in commodity futures," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 423-444.
  129. Rafik JBIR, 2021. "Temperature, energy consumption, and Co2 emission: testing for nonlinearity on USA Economy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12434-12445, August.
  130. Vaz, Lucélia Viviane & Filho, Getulio Borges da Silveira, 2017. "Functional Autoregressive Models: An Application to Brazilian Hourly Electricity Load," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(2), November.
  131. Cancelo, José Ramón & Grafe, Rosmarie, 2007. "Forecasting from one day to one week ahead for the Spanish system operator," DES - Working Papers. Statistics and Econometrics. WS ws078418, Universidad Carlos III de Madrid. Departamento de Estadística.
  132. Bashiri Behmiri, Niaz & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks," Energy, Elsevier, vol. 278(C).
  133. Miguel López & Carlos Sans & Sergio Valero & Carolina Senabre, 2019. "Classification of Special Days in Short-Term Load Forecasting: The Spanish Case Study," Energies, MDPI, vol. 12(7), pages 1-31, April.
  134. Daniel Losada & Ameena Al-Sumaiti & Sergio Rivera, 2021. "Uncertainty Cost Functions in Climate-Dependent Controllable Loads in Commercial Environments," Energies, MDPI, vol. 14(10), pages 1-22, May.
  135. Jose M. Garrido-Perez & David Barriopedro & Ricardo García-Herrera & Carlos Ordóñez, 2021. "Impact of climate change on Spanish electricity demand," Climatic Change, Springer, vol. 165(3), pages 1-18, April.
  136. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
  137. Ozhegov, Evgeniy & Popova, Evgeniya, 2017. "Demand for electricity and weather conditions: Nonparametric analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 55-73.
  138. Niematallah Elamin & Mototsugu Fukushige, 2017. "The 2011 Japanese energy crisis: Effects on the magnitude and pattern of load demand," Discussion Papers in Economics and Business 17-19, Osaka University, Graduate School of Economics.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.