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2021Endüstri Mühendisliği: Vol. 32, Issue 2YAPAY SİNİR AĞLARINA DAYALI KISA DÖNEMLİ ELEKTRİK YÜKÜ TAHMİNİEren KAMBER, Sencer KÖRPÜZ, Melih CAN, Hacer YUMURTACI AYDOĞMUŞ, Mehmet GÜMÜŞhttp://dx.doi.org/10.1016/j.enconman.2014.01.045
2018Energy: Vol. 151Forecasting China's total energy demand and its structure using ADL-MIDAS modelYongda He, Boqiang Linhttp://dx.doi.org/10.3390/en6031385
2014Energy Conversion and Management: Vol. 80Modelling carbon emissions in electric systemsE.T. Lau, Q. Yang, A.B. Forbes, P. Wright, V.N. Livinahttp://dx.doi.org/10.1016/j.csda.2009.03.003
2014IEEE Communications Surveys & Tutorials: Vol. 16, Issue 3A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart BuildingsLuis Hernandez, Carlos Baladron, Javier M. Aguiar, Belen Carro, Antonio J. Sanchez-Esguevillas, Jaime Lloret, Joaquim Massanahttp://dx.doi.org/10.1080/00207720110067421
2013Energies: Vol. 6, Issue 3Short-Term Load Forecasting for Microgrids Based on Artificial Neural NetworksLuis Hernandez, Carlos Baladrón, Javier Aguiar, Belén Carro, Antonio Sanchez-Esguevillas, Jaime Llorethttp://dx.doi.org/10.1080/00986440601098706
2011Expert Systems with Applications: Vol. 38, Issue 7A neuro-computational intelligence analysis of the global consumer software piracy ratesMohamed M. Mostafahttp://dx.doi.org/10.1016/S0307-904X(03)00071-4
2011Energies: Vol. 4, Issue 3A New Neural Network Approach to Short Term Load Forecasting of Electrical Power SystemsNima Amjady, Farshid Keyniahttp://dx.doi.org/10.1007/s00521-021-06438-0
2010Expert Systems with Applications: Vol. 37, Issue 9Forecasting stock exchange movements using neural networks: Empirical evidence from KuwaitMohamed M. Mostafahttp://dx.doi.org/10.1109/SURV.2014.032014.00094
2009Computational Statistics & Data Analysis: Vol. 53, Issue 9A neuro-computational intelligence analysis of the ecological footprint of nationsMohamed M. Mostafa, Rajan Nataraajanhttp://dx.doi.org/10.1007/978-1-4615-4529-3_15
2008International Journal of Computer Applications in Technology: Vol. 32, Issue 3A non-linear auto-regressive moving average with exogenous input non-linear modelling and fault detection using the cumulative sum (Page-Hinkley) test: application to a reactorYahya Chetouanihttp://dx.doi.org/10.1109/59.910780
2007Chemical Engineering Communications: Vol. 194, Issue 5MODELING AND PREDICTION OF THE DYNAMIC BEHAVIOR IN A REACTOR-EXCHANGER USING NARMAX NEURAL STRUCTUREYahya Chetouanihttp://dx.doi.org/10.1007/978-1-4757-4911-3_13
2004Maritime Policy & Management: Vol. 31, Issue 2Forecasting the Suez Canal traffic: a neural network analysisMohamed M. Mostafahttp://dx.doi.org/10.1080/0308883032000174463
2003Applied Mathematical Modelling: Vol. 27, Issue 8Modelling and prediction of machining errors using ARMAX and NARMAX structuresEric H.K Fung, Y.K Wong, H.F Ho, Marc P Mignolethttp://dx.doi.org/10.46465/endustrimuhendisligi.820509
2003Energy Conversion and Management: Vol. 44, Issue 12Regional load forecasting in Taiwan––applications of artificial neural networksChe-Chiang Hsu, Chia-Yon Chenhttp://dx.doi.org/10.3390/en4030488
2002International Journal of Systems Science: Vol. 33, Issue 1Electric load forecasting: Literature survey and classification of methodsHesham K. Alfares, Mohammad Nazeeruddinhttp://dx.doi.org/10.1016/j.eswa.2011.01.090
2002IEEE Transactions on Power Systems: Vol. 17, Issue 3Neural network load forecasting with weather ensemble predictionsJ.W. Taylor, R. Buizzahttp://dx.doi.org/10.1016/S0196-8904(02)00225-X
2001IEEE Transactions on Power Systems: Vol. 16, Issue 1Neural networks for short-term load forecasting: a review and evaluationH.S. Hippert, C.E. Pedreira, R.C. Souzahttp://dx.doi.org/10.1109/SysCon53536.2022.9773816
1999International Journal of Energy Research: Vol. 23, Issue 13Artificial neural networks for thermopiezoelectric systemsMehmet Sunarhttp://dx.doi.org/10.1504/IJCAT.2008.020954

 

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