Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]
In recent years, there have been extensive researches seeking the best methods of improving the load forecast accuracy. Many of these methods are statistical based methods which include time series, regression, Box-Jenkins model, exponential smoothing and so on. However, the statistical models offer...
Spremljeno u:
Glavni autori: | M. A., Hambali (Autor), Y. K, Saheed (Autor), M. D, Gbolagade (Autor), M, Gaddafi (Autor) |
---|---|
Format: | Knjiga |
Izdano: |
2017.
|
Teme: | |
Online pristup: | Link Metadata |
Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|
Slični predmeti
-
Forecast of the Future Trend of Accidents in an Electricity Distribution Company of Iran: A Time Series Analysis
od: Alireza KHAMMAR, i dr.
Izdano: (2019) -
Short Term Load Forecasting for Lattakia City Using Artificial Neural Networks (ANNs)
od: Alaa Aldin Housam Aldin, i dr.
Izdano: (2019) -
Intelligent Forecasting and Optimization in Electrical Power Systems
Izdano: (2023) -
Introduction of smog-eating technology for Malaysia's climate to reduce air pollution / Mohamad Daneil Hambali Mohd Bukhori
od: Mohd Bukhori, Mohamad Daneil Hambali
Izdano: (2018) -
Advanced Methods of Power Load Forecasting
Izdano: (2022)