Seasonal climate forecasts for medium-term electricity demand forecasting

Applied Energy

Volumn 137, Issue , 2015, Pages 435-444

  De Felice, Matteo ^a   Alessandri, Andrea ^a,b   Catalano, Franco ^a  

^a ENEA   (Italy)

^b UNIVERSITY OF HAWAII   (United States)

Author keywords

Electricity demand; Medium term load forecast; Probabilistic forecast; Seasonal climate forecasts

Indexed keywords

AIR CONDITIONING; ELECTRIC LOAD FORECASTING;

CORRELATION COEFFICIENT; ELECTRICITY DEMAND FORECASTING; ELECTRICITY DEMANDS; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; LOAD FORECAST; PROBABILISTIC APPROACHES; PROBABILISTIC FORECASTS; SEASONAL CLIMATE FORECAST;

WEATHER FORECASTING;

AIR CONDITIONING; AIR TEMPERATURE; ELECTRICAL POWER; ELECTRICITY GENERATION; PREDICTION; PROBABILITY; SEASONAL VARIATION;

ITALY;

EID: 84910050420     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.10.030     Document Type: Article

References (30)

1. CLIM-RUN - Local Climate Informations to Respond to Users Needs. 2011, http://www.climrun.eu/.
2. EUPORIAS - European Provision Of Regional Impacts Assessments on Seasonal and Decadal Timescales. 2012, http://www.euporias.eu/.
3. SPECS - Seasonal-to-decadal climate Prediction for the improvement of European Climate Services. 2012, http://www.specs-fp7.eu/.
4. Alessandri Andrea, Borrelli Andrea, Gualdi Silvio, Scoccimarro Enrico, Masina Simona Tropical cyclone count forecasting using a dynamical seasonal prediction system: sensitivity to improved ocean initialization. J Climate 2011, 24(12).
5. Alessandri Andrea, Borrelli Andrea, Navarra Antonio, Arribas Alberto, Déqué Michel, Rogel Philippe, et al. Evaluation of probabilistic quality and value of the ENSEMBLES multimodel seasonal forecasts: comparison with DEMETER. Monthly Weather Rev 2011, 139(2):581-607.
6. Apadula Francesco, Bassini Alessandra, Elli Alberto, Scapin Simone Relationships between meteorological variables and monthly electricity demand. Appl Energy 2012, 98:346-356.
7. Beniston Martin The 2003 heat wave in Europe: a shape of things to come? An analysis based on Swiss climatological data and model simulations. Geophys Res Lett 2004, 31(2).
8. Berrisford P., Dee D., Fielding K., Fuentes M., Kallberg P., Kobayashi S., et al. The ERA-Interim archive. ERA Report Series 2009, 1(1).
9. Bessec Marie, Fouquau Julien The non-linear link between electricity consumption and temperature in Europe: a threshold panel approach. Energy Econom 2008, 30(5):2705-2721.
10. Bianco Vincenzo, Manca Oronzio, Nardini Sergio Electricity consumption forecasting in Italy using linear regression models. Energy 2009, 34(9):1413-1421.
11. Brier Glenn W. Verification of forecasts expressed in terms of probability. Monthly Weather Rev 1950, 78(1):1-3.
12. Cherchi Annalisa, Gualdi Silvio, Behera Swadhin, Luo Jing Jia, Masson Sebastien, Yamagata Toshio, et al. The influence of tropical indian ocean SST on the indian summer monsoon. J Climate 2007, 20(13):3083-3105.
13. Cortes C., Vapnik V. Support-vector networks. Mach Learn 1995, 20(3):273-297.
14. Doblas-Reyes Francisco J., García-Serrano Javier, Lienert Fabian, Biescas Aida Pintó, Rodrigues Luis R.L. Seasonal climate predictability and forecasting: status and prospects. Wiley Interdisciplinary Rev: Climate Change 2013, 4(4):245-268.
15. Drucker H., Burges C.J.C., Kaufman L., Smola A., Vapnik V. Support vector regression machines. Adv Neural Inform Process Syst 1997, 9:155-161.
16. Dubus Laurent Practices, needs and impediments in the use of weather/climate information in the electricity sector. Management of weather and climate risk in the energy industry 2010, 175-188. Springer.
17. Felice Matteo De, Alessandri Andrea, Ruti Paolo M. Electricity demand forecasting over Italy: potential benefits using numerical weather prediction models. Electric Power Syst Res 2013, 104(0):71-79.
18. Fischer E.M., Seneviratne S.I., Lüthi D., Schär C. Contribution of land-atmosphere coupling to recent European summer heat waves. Geophys Res Lett 2007, 34(6).
19. Gneiting Tilmann, Katzfuss Matthias Probabilistic forecasting. Ann Rev Stat Appl 2014, 1:125-151.
20. Kim Hye-Mi, Webster Peter J., Curry Judith A. Seasonal prediction skill of ECMWF system 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter. Climate Dynam 2012, 39(12):2957-2973.
21. Kovats Sari, Wolf Tanja, Menne Bettina Heatwave of august 2003 in europe: provisional estimates of the impact on mortality. Eurosurveillance Weekly 2004, 8(11):11.
22. Molteni F., Stockdale T., Balmaseda M., Balsamo G., Buizza R., Ferranti L., et al. The new ECMWF seasonal forecast system (System 4). ECMWF Techn Memorandum 2011, 656.
23. Navarra A., Tribbia J. The coupled manifold. J. Atmos Sci 2005, 62(2):310-330.
24. Pardo A., Meneu V., Valor E. Temperature and seasonality influences on spanish electricity load. Energy Econom 2002, 24(1):55-70.
25. Rothstein Benno, Halbig Guido Weather sensitivity of electricity supply and data services of the german met office. Management of weather and climate risk in the energy industry 2010, 253-266. Springer.
26. Schär Christoph, Vidale Pier Luigi, Lüthi Daniel, Frei Christoph, Häberli Christian, Liniger Mark A, et al. The role of increasing temperature variability in european summer heatwaves. Nature 2004, 427(6972):332-336.
27. Stockdale Timothy N., Anderson David L.T., Balmaseda Magdalena A., Doblas-Reyes Francisco, Ferranti Laura, Mogensen Kristian, et al. ECMWF seasonal forecast system 3 and its prediction of sea surface temperature. Climate Dynam 2011, 37(3):455-471.
28. Valor E., Meneu V., Caselles V. Daily air temperature and electricity load in spain. J Appl Meteorol 2001, 40(8):1413-1421.
29. Vapnik V. The nature of statistical learning theory 2000, springer.
30. Wilks Daniel S. Statistical methods in the atmospheric sciences 2011, vol. 100. Academic Press.