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Electricity forecasting model using specific time zone
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 Title & Authors
Electricity forecasting model using specific time zone
Shin, YiRe; Yoon, Sanghoo;
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 Abstract
Accurate electricity demand forecasts is essential in reducing energy spend and preventing imbalance of the power supply. In forcasting electricity demand, we considered double seasonal Holt-Winters model and TBATS model with sliding window. We selected a specific time zone as the reference line of daily electric demand because it is least likely to be influenced by external factors. The forecasting performance have been evaluated in terms of RMSE and MAPE criteria. We used the observations ranging January 4, 2009 to December 31 for testing data. For validation data, the records has been used between January 1, 2012 and December 29, 2012.
 Keywords
Electricity demand forecasting;multiple seasonal exponential smoothing;reference line;sliding window;
 Language
Korean
 Cited by
1.
A study on demand forecasting for Jeju-bound tourists by travel purpose using seasonal ARIMA-Intervention model, Journal of the Korean Data and Information Science Society, 2016, 27, 3, 725  crossref(new windwow)
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