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 …

Energy models for demand forecasting—A review

L Suganthi, AA Samuel - Renewable and sustainable energy reviews, 2012 - Elsevier
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 …

Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines

F Kaytez, MC Taplamacioglu, E Cam… - International Journal of …, 2015 - Elsevier
Accurate electricity consumption forecast has primary importance in the energy planning of
the developing countries. During the last decade several new techniques are being used for …

ARIMA forecasting of primary energy demand by fuel in Turkey

VŞ Ediger, S Akar - Energy policy, 2007 - Elsevier
Forecasting of energy demand in emerging markets is one of the most important policy tools
used by the decision makers all over the world. In Turkey, most of the early studies used …

Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables

M Kankal, A Akpınar, Mİ Kömürcü, TŞ Özşahin - Applied Energy, 2011 - Elsevier
This study deals with the modeling of the energy consumption in Turkey in order to forecast
future projections based on socio-economic and demographic variables (gross domestic …

Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey

E Erdogdu - Energy policy, 2007 - Elsevier
In the early 2000s, the Republic of Turkey has initiated an ambitious reform program in her
electricity market, which requires privatization, liberalization as well as a radical …

Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology

M Kabak, M Dağdeviren - Energy conversion and management, 2014 - Elsevier
Developing countries such as Turkey, with their fast growing population and economy, are
facing an increasing demand for energy. Turkey does not possess a sufficient quantity of …

Energy consumption forecasting in Korea using machine learning algorithms

SY Shin, HG Woo - Energies, 2022 - mdpi.com
In predicting energy consumption, classic econometric and statistical models are used to
forecast energy consumption. These models may have limitations in an increasingly fast …

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 …

Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption

A Azadeh, SF Ghaderi, S Tarverdian… - Applied mathematics and …, 2007 - Elsevier
This study presents an integrated genetic algorithm (GA) and artificial neural network (ANN)
to estimate and predict electricity demand using stochastic procedures. The economic …