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References
- BPPT, "The Development of The Electrical System in The Long Term National Development," Agency Assessment and Application of Technology (Jakarta), 2006.
- Bunn, D. Farmer, E, "Economic and Operational Context of Electric Load 290 JITeCS Volume 4, Number 3, Desember 2019, pp 284-290p-ISSN: 2540-9433; e-ISSN: 2540-9824
- Prediction, Comparative Models for Electrical Load Forecasting," pp 3-11, 1985.
- Endharta, A.J., and Suhartono, "Peramalan Konsumsi Listrik Jangka Pendek dengan ARIMA Musiman Ganda dan ELMAN-Recurrent Neural Network," in Jurnal Ilmiah Teknologi Informasi, 2009.
- Soares, L. J., and Medeiros, M. C, “Modelling and Forecasting Short-Term Electricity Load: A Comparison of Method with an Application to Brazilian Data,†Science Direct, pp 630-644, 2008.
- Azadeh, A., Saberi, M., Nadimi, V., Iman, M., and Behrooznia, A. "An Integrated Neuro-Fuzzy Algorithm For Long-Term Electricity Consumption: Case of Selected EU Countries ," Journal of Acta Polytechnica Hungarica’, pp 71-90, 2010.
- Zhang, G, "Time Series Forecasting Using a Hybrid ARIMA and Neural Network Model," in Neurocomputing, pp 159-175, 2003.
- Wei, W, "Time Analysis Univariate and Multivariate Methods," in Addison Wesley Publishing Company, 2006.
- Suhartono and Subanar, "A Comparative Study of Forecasting Models for Trend and Seasonal Time Series: Does Complex Model Always Yoeld Better Forecast Than Simple Models," in Jurnal Teknik Industri, 22-30, 2005.
- Kocyigit, Y. A., "Classfification of EEG Recordings by Using Fast Independent Component Analysis and Artificial Neural Network," in Artificial Intelligence pp 17-20, 2008.
- Faraway, J., and Chatfield, C, "Time Series forecasting with Neural Network: A Comparative Study Using The Airline Data," in Applied Statistic, pp 231-250,1998.
References
BPPT, "The Development of The Electrical System in The Long Term National Development," Agency Assessment and Application of Technology (Jakarta), 2006.
Bunn, D. Farmer, E, "Economic and Operational Context of Electric Load 290 JITeCS Volume 4, Number 3, Desember 2019, pp 284-290p-ISSN: 2540-9433; e-ISSN: 2540-9824
Prediction, Comparative Models for Electrical Load Forecasting," pp 3-11, 1985.
Endharta, A.J., and Suhartono, "Peramalan Konsumsi Listrik Jangka Pendek dengan ARIMA Musiman Ganda dan ELMAN-Recurrent Neural Network," in Jurnal Ilmiah Teknologi Informasi, 2009.
Soares, L. J., and Medeiros, M. C, “Modelling and Forecasting Short-Term Electricity Load: A Comparison of Method with an Application to Brazilian Data,†Science Direct, pp 630-644, 2008.
Azadeh, A., Saberi, M., Nadimi, V., Iman, M., and Behrooznia, A. "An Integrated Neuro-Fuzzy Algorithm For Long-Term Electricity Consumption: Case of Selected EU Countries ," Journal of Acta Polytechnica Hungarica’, pp 71-90, 2010.
Zhang, G, "Time Series Forecasting Using a Hybrid ARIMA and Neural Network Model," in Neurocomputing, pp 159-175, 2003.
Wei, W, "Time Analysis Univariate and Multivariate Methods," in Addison Wesley Publishing Company, 2006.
Suhartono and Subanar, "A Comparative Study of Forecasting Models for Trend and Seasonal Time Series: Does Complex Model Always Yoeld Better Forecast Than Simple Models," in Jurnal Teknik Industri, 22-30, 2005.
Kocyigit, Y. A., "Classfification of EEG Recordings by Using Fast Independent Component Analysis and Artificial Neural Network," in Artificial Intelligence pp 17-20, 2008.
Faraway, J., and Chatfield, C, "Time Series forecasting with Neural Network: A Comparative Study Using The Airline Data," in Applied Statistic, pp 231-250,1998.