Machine learning in energy economics and finance: A review
Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …
energy economics and finance. We critically review the burgeoning literature dedicated to …
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 …
Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms
Today, the world's primary energy demand has been met by the burning of fossil-based fuels
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …
Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran
Earthquakes are natural phenomena, which induce natural hazard that seriously threatens
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
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 …
environment. In the past decade energy consumption has increased exponentially globally …
Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables
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 …
future projections based on socio-economic and demographic variables (gross domestic …
Improving artificial neural networks' performance in seasonal time series forecasting
C Hamzaçebi - Information Sciences, 2008 - Elsevier
In this study, an artificial neural network (ANN) structure is proposed for seasonal time series
forecasting. The proposed structure considers the seasonal period in time series in order to …
forecasting. The proposed structure considers the seasonal period in time series in order to …
Forecasting of CO2 emissions from fuel combustion using trend analysis
AÇ Köne, T Büke - Renewable and Sustainable Energy Reviews, 2010 - Elsevier
The accelerating use of fossil fuels since the Industrial Revolution and the rapid destruction
of forests causes a significant increase in greenhouse gases. The increasing threat of global …
of forests causes a significant increase in greenhouse gases. The increasing threat of global …
[PDF][PDF] Forecasting energy consumption of Turkey by Arima model
S Ozturk, F Ozturk - Journal of Asian Scientific Research, 2018 - researchgate.net
Energy is one of the important factors affecting the development of modern human life
nowadays. Population growth, rising living standards, urbanization, technological …
nowadays. Population growth, rising living standards, urbanization, technological …
Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections
G Aydin - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Modeling and forecasting of the primary energy consumption (PEC) play a vital role for
policy makers and related organizations in developing countries such as Turkey. In this …
policy makers and related organizations in developing countries such as Turkey. In this …