Forecast of Iran's electricity consumption using a combined approach of neural networks and econometrics
Year of publication: |
2013
|
---|---|
Authors: | Aghaeifar, Roya ; Pourkazemi, Mohammad Hossein |
Subject: | forecasting | electricity consumption | neural network | ARDL model | ARIMA method | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Energiekonsum | Energy consumption | Elektrizität | Electricity | Iran | Energieprognose | Energy forecast | Zeitreihenanalyse | Time series analysis | Theorie | Theory |
Extent: | graph. Darst. |
---|---|
Type of publication: | Article |
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.22059/ier.2013.73502 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Forecasting Long-Term Electricity Demand Time Series Using Artificial Neural Networks
Behm, Christian, (2020)
-
Heilmann, Erik, (2021)
-
Electricity consumption prediction using artificial intelligence
Čegovnik, Tomaž, (2023)
- More ...
-
A fuzzy logic approach to estimate the import of smuggling in Iran
Pourkazemi, Mohammad Hossein, (2013)
-
Atashbar, Tohid, (2012)
-
Comparing the ANN and Linear Regression in Estimation of the Growth Model (The Case of MENA)
Sameti, Majid, (2013)
- More ...