Energy models for demand forecasting—A review
Energy is vital for sustainable development of any nation–be it social, economic or
environment. In the past decade energy consumption has increased exponentially globally …
environment. In the past decade energy consumption has increased exponentially globally …
Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …
for energy consumption forecasting over the past decades. This paper reviews conventional …
Online big data-driven oil consumption forecasting with Google trends
The rapid development of big data technologies and the Internet provides a rich mine of
online big data (eg, trend spotting) that can be helpful in predicting oil consumption—an …
online big data (eg, trend spotting) that can be helpful in predicting oil consumption—an …
Effective energy consumption forecasting using enhanced bagged echo state network
Precise analysis and forecasting of energy consumption not only affects energy security and
environment of a nation but also provides a useful decision basis for policy makers. This …
environment of a nation but also provides a useful decision basis for policy makers. This …
Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming
This study formulates the effects of two different historical data types on electrical energy
consumption of ASEAN-5 counties. On this basis, optimized GEP (gene expression …
consumption of ASEAN-5 counties. On this basis, optimized GEP (gene expression …
Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran
This paper presents application of PSO (Particle Swarm Optimization) and GA (Genetic
Algorithm) techniques to estimate oil demand in Iran, based on socio-economic indicators …
Algorithm) techniques to estimate oil demand in Iran, based on socio-economic indicators …
Long-term electric energy consumption forecasting via artificial cooperative search algorithm
This study mathematically formulates the effects of socio-economic indicators (gross
domestic production, population, stock index, export, and import) on Iran's electric energy …
domestic production, population, stock index, export, and import) on Iran's electric energy …
Prediction of transportation energy demand by novel hybrid meta-heuristic ANN
Road automobiles are deemed one of the major resources of energy consumption
throughout cities. To realize and design sustainable urban transport, it is essential to …
throughout cities. To realize and design sustainable urban transport, it is essential to …
Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm
The main objective of the present study was to apply the ANN (artificial neural network)
model with the TLBO (teaching–learning-based optimization) algorithm to estimate energy …
model with the TLBO (teaching–learning-based optimization) algorithm to estimate energy …