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Seasonal climate forecasts for medium-term electricity demand forecasting

Author

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  • De Felice, Matteo
  • Alessandri, Andrea
  • Catalano, Franco

Abstract

Air temperature is an effective predictor for electricity demand, especially during hot periods where the need of electric air conditioning can be high. This paper presents for the first time an assessment of the use of seasonal climate forecasts of temperature for medium-term electricity demand prediction. The retrospective seasonal climate forecasts provided by ECWMF (European Centre for Medium-Range Weather Forecasts) are used to forecast the June–July Italian electricity demand for the period 1990–2007.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:137:y:2015:i:c:p:435-444
    DOI: 10.1016/j.apenergy.2014.10.030
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    References listed on IDEAS

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    1. 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.
    2. Francisco J. Doblas‐Reyes & Javier García‐Serrano & Fabian Lienert & Aida Pintó Biescas & Luis R. L. Rodrigues, 2013. "Seasonal climate predictability and forecasting: status and prospects," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 4(4), pages 245-268, July.
    3. Pardo, Angel & Meneu, Vicente & Valor, Enric, 2002. "Temperature and seasonality influences on Spanish electricity load," Energy Economics, Elsevier, vol. 24(1), pages 55-70, January.
    4. 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.
    5. Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio, 2009. "Electricity consumption forecasting in Italy using linear regression models," Energy, Elsevier, vol. 34(9), pages 1413-1421.
    6. repec:dau:papers:123456789/8180 is not listed on IDEAS
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