IEEE Transactions on Power Systems · 2007 · 228 citations · 13 references
Power MarketForecasting MethodologyEngineeringSmart GridData ScienceEnergy ManagementDemand ForecastingEnergy ForecastingSpanish Electricity MarketForecastingWindow LengthEnergy PredictionElectricity MarketPower Systems
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a simple technique to forecast next-day electricity market prices based on the weighted nearest neighbors methodology. First, it is explained how the relevant parameters defining the adopted model are obtained. Such parameters have to do with the window length of the time series and with the number of neighbors chosen for the prediction. Then, results corresponding to the Spanish electricity market during 2002 are presented and discussed. Finally, the performance of the proposed method is compared with that of recently published techniques. </para>
13
ARIMA models to predict next-day electricity prices
Javier Contreras, Rosa Espínola, Francisco J. Nogales et al. · IEEE Transactions on Power Systems · 2003 · 1.5K citations
Power Market, Economics, Engineering +13
ARIMA Models to Predict Next-Day Electricity Prices
Javier Contreras, Rosario Espinola, Francisco J. Nogales et al. · IEEE Power Engineering Review · 2002 · 940 citations
Power Market, Economics, Engineering +13