Neural networks in forecasting electrical energy consumption
This paper presents an artificial neural network (ANN) approach to electric energy consumption (EEC) forecasting in Lebanon. In order to provide the forecasted energy consumption, the ANN interpolates among the EEC and its determinants in a training data set. In this study, four ANN models are prese...
محفوظ في:
| المؤلف الرئيسي: | Nasr, George (author) |
|---|---|
| مؤلفون آخرون: | Badr, E.A. (author), Younes, M.R. (author) |
| التنسيق: | article |
| منشور في: |
2002
|
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/3160 http://dx.doi.org/10.1002/er.766 http://onlinelibrary.wiley.com/doi/10.1002/er.766/full |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
مواد مشابهة
-
Backpropagation neural networks for modeling gasoline consumption
حسب: Nasr, George
منشور في: (2003) -
Univariate modeling and forecasting of energy consumption
حسب: Saab, Samer
منشور في: (2001) -
Econometric modeling of electricity consumption in post-war Lebanon
حسب: Nasr, G. E.
منشور في: (2000) -
Stereo-vision calibration by multi-layer perceptrons of an artificial neural network
حسب: Nasr, George
منشور في: (2011) -
The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
حسب: Ammar Abulibdeh (15785928)
منشور في: (2022)