Industry 4.0 and demand forecasting of the energy supply chain: A literature review

Author:

Roozbeh Nia Ali,Awasthi Anjali,Bhuiyan Nadia

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference238 articles.

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3. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations;Abdul-Wahab;Environmental Modelling & Software,2005

4. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada;Adamowski;Water Resources Research,2012

5. Shift in demand elasticities, road energy forecast and the persistence profile of shocks;Adom;Economic Modelling,2016

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