Read Forecasting hourly electricity demand in egypt: a double seasonality approach

Forecasting hourly electricity demand in egypt: a double seasonality approach

Unknown Author

4.9/5 (27743 ratings)

Description:This study applies double seasonal Holt-Winter method, Double seasonal autoregressive integrated moving average (DSARIMA) model and Artificial Neural Networks (ANNs) in forecasting the Egyptian electricity demand series. Double seasonal Holt-Winter method, DSRIMA model and ANNs are commonly used for forecasting electricity in many countries. In this study, we investigate these three forecasting methods in forecasting hourly electricity demand in Egypt to arrive at the best forecasting method. The previous forecasting methods are applied on hourly Egyptian data set. The mean absolute deviation (MAD), the mean absolute percentage error (MAPE), the mean square error (MSE) and the root mean square error (RMSE) are used to evaluate the forecasting accuracy of these methods. The results show the superiority of double seasonal Holt-Winters method in forecasting the Egyptian electricity demand. DSARIMA model and ANNs are competitive to each other. DSARIMA model gives accurate forecasts than ANNs up to two weeks forecast ahead, while ANNs are more accurate forforecast time horizon longer than two weeks.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Forecasting hourly electricity demand in egypt: a double seasonality approach. To get started finding Forecasting hourly electricity demand in egypt: a double seasonality approach, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 72

Format: PDF, EPUB & Kindle Edition

Publisher: Cairo Center for Development Benchmarking "CDB"

Release: 2017

ISBN

Description: This study applies double seasonal Holt-Winter method, Double seasonal autoregressive integrated moving average (DSARIMA) model and Artificial Neural Networks (ANNs) in forecasting the Egyptian electricity demand series. Double seasonal Holt-Winter method, DSRIMA model and ANNs are commonly used for forecasting electricity in many countries. In this study, we investigate these three forecasting methods in forecasting hourly electricity demand in Egypt to arrive at the best forecasting method. The previous forecasting methods are applied on hourly Egyptian data set. The mean absolute deviation (MAD), the mean absolute percentage error (MAPE), the mean square error (MSE) and the root mean square error (RMSE) are used to evaluate the forecasting accuracy of these methods. The results show the superiority of double seasonal Holt-Winters method in forecasting the Egyptian electricity demand. DSARIMA model and ANNs are competitive to each other. DSARIMA model gives accurate forecasts than ANNs up to two weeks forecast ahead, while ANNs are more accurate forforecast time horizon longer than two weeks.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Forecasting hourly electricity demand in egypt: a double seasonality approach. To get started finding Forecasting hourly electricity demand in egypt: a double seasonality approach, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Forecasting hourly electricity demand in egypt: a double seasonality approach

Forecasting hourly electricity demand in egypt: a double seasonality approach

More Books