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 review of electricity demand forecasting in low and middle income countries: The demand determinants and horizons

AA Mir, M Alghassab, K Ullah, ZA Khan, Y Lu, M Imran - Sustainability, 2020 - mdpi.com
With the globally increasing electricity demand, its related uncertainties are on the rise as
well. Therefore, a deeper insight of load forecasting techniques for projecting future …

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 …

Analyzing the role of industrial sector's electricity consumption, prices, and GDP: a modified empirical evidence from Pakistan

KR Abbasi, K Hussain, J Abbas… - Aims …, 2021 - eprints.bournemouth.ac.uk
Electricity usage plays a vital role in raising the massive growth in the economy; also, the
industrial sector is the key factor of overall energy demand closely related to the economy …

[HTML][HTML] Energy system analysis with a focus on future energy demand projections: the case of Norway

L Malka, F Bidaj, A Kuriqi, A Jaku, R Roçi… - Energy, 2023 - Elsevier
Post Covid-19 pandemic and the Ukrainian war are significantly impacting energy systems
worldwide, faltering investments and threatening to throttle the expansion of primary clean …

Analysis of time series models for Brazilian electricity demand forecasting

CE Velasquez, M Zocatelli, FBGL Estanislau, VF Castro - Energy, 2022 - Elsevier
Electricity forecasting contributes to have an idea of the electricity needs for the expansion of
the electric system, the availability of the power plants according to the installed capacity …

Using machine learning tools for forecasting natural gas consumption in the province of Istanbul

OF Beyca, BC Ervural, E Tatoglu, PG Ozuyar, S Zaim - Energy Economics, 2019 - Elsevier
Commensurate with unprecedented increases in energy demand, a well-constructed
forecasting model is vital to managing energy policies effectively by providing energy …

A novel hybrid approach based on particle swarm optimization and ant colony algorithm to forecast energy demand of Turkey

MS Kıran, E Özceylan, M Gündüz, T Paksoy - Energy conversion and …, 2012 - Elsevier
This paper proposes a new hybrid method (HAP) for estimating energy demand of Turkey
using Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO). Proposed …

[HTML][HTML] Energy price reform in Saudi Arabia: Modeling the economic and environmental impacts and understanding the demand response

M Aldubyan, A Gasim - Energy Policy, 2021 - Elsevier
Saudi Arabia has regulated domestic energy prices for decades, setting them below
international market levels. Energy subsidies in Saudi Arabia are generally implicit because …

Household and industrial electricity demand in Europe

C Cialani, R Mortazavi - Energy policy, 2018 - Elsevier
This paper examines the electricity demand, and its determinants, in 29 European countries
during the liberalization of the electricity market. Based on panel data for these countries for …