Long-term energy demand in Malaysia as a function of energy supply : a comparative analysis of Non-Linear Autoregressive Exogenous Neural Networks and Multiple Non-Linear Regression Models
Year of publication: |
2021
|
---|---|
Authors: | Bamidele Victor Ayodele ; Siti Indati Mustapa ; Norsyahida Mohammad ; Mohammad Shakeri |
Published in: |
Energy strategy reviews. - Amsterdam [u.a.] : Elsevier, ZDB-ID 2652346-2. - Vol. 38.2021, Art.-No. 100750, p. 1-13
|
Subject: | Non-linear autoregressive exogenous | Artificial neural networks | Long-term energy demand | Multiple non-linear regression | Predictive energy modeling | Neuronale Netze | Neural networks | Energiekonsum | Energy consumption | Schätztheorie | Estimation theory | Prognoseverfahren | Forecasting model | Nichtlineare Regression | Nonlinear regression | Malaysia | Energiemarkt | Energy market | Energieversorgung | Energy supply |
-
Baruník, Jozef, (2014)
-
Conditional density forecast of China's energy demand via QRNN model
Cao, Shubo, (2018)
-
Bouteska, Ahmed, (2023)
- More ...
-
Ayodele, Freida Ozavize, (2023)
-
Siti Indati Mustapa, (2024)
-
Investigating factors affecting CO2 emissions in Malaysian road transport sector
Siti Indati Mustapa, (2015)
- More ...