Electrical load forecasting models: A critical systematic review

C Kuster, Y Rezgui, M Mourshed - Sustainable cities and society, 2017 - Elsevier
Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …

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 …

A meta-analysis on the price elasticity of energy demand

X Labandeira, JM Labeaga, X López-Otero - Energy policy, 2017 - Elsevier
Price elasticities of energy demand have become increasingly relevant in estimating the
socio-economic and environmental effects of energy policies or other events that influence …

An overview of renewable energy resources and grid integration for commercial building applications

NT Mbungu, RM Naidoo, RC Bansal, MW Siti… - Journal of Energy …, 2020 - Elsevier
This paper presents an overview of the integration of renewable energy resources in the
urban sector. The article also describes the current global energy demand and growth …

Race to environmental sustainability: Can renewable energy consumption and technological innovation sustain the strides for China?

Q ** countries? The experience of selected African countries
Y Keho - Energy Policy, 2016 - Elsevier
This study investigates the drivers of energy consumption in Sub-Saharan African countries.
It applies the bounds testing approach to cointegration to time series data at individual …

Energy access scenarios to 2030 for the power sector in sub-Saharan Africa

M Bazilian, P Nussbaumer, HH Rogner… - Utilities Policy, 2012 - Elsevier
In order to reach a goal of universal access to modern energy services in Africa by 2030,
consideration of various electricity sector pathways is required to help inform policy-makers …

Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

ME Günay - Energy Policy, 2016 - Elsevier
In this work, the annual gross electricity demand of Turkey was modeled by multiple linear
regression and artificial neural networks as a function population, gross domestic product …