Konu "Forecasting" için Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed listeleme
Toplam kayıt 13, listelenen: 1-13
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Assessing the current and future effects of Covid-19 on energy related-CO2 emissions in the United States using seasonal fractional grey model
(Elsevier Ltd, 2023)Accurate CO2 forecasting plays an important role in energy planning. However, in the annual forecasting studies on CO2 emissions, the seasonal effects cannot be predicted. To overcome this problem, this study proposed ... -
Dynamic panel fuzzy time series model and its application to econometric time series
(Elsevier, 2021)This study proposes a new Fuzzy Time Series (FTS) approach, called as Dynamic Panel Fuzzy Time Series (DPFTS) which combines Dynamic Panel Data Analysis and FTS. The major advantages of proposed approach can be summarized ... -
Forecasting COVID-19 impact on RWI/ISL container throughput index by using SARIMA models
(ROUTLEDGE TAYLOR & FRANCIS LTD, 2021)Maritime operators are facing their biggest challenge called Coronavirus (COVID-19) since the 2008 financial crisis. As part of the measures taken by the countries against the virus, the domino effect started with the ... -
Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models
(Springer, 2022)Reliability is the probability that a system or a product fulfills its intended function without failure over a period of time and it is generally used to determine the reliability, release and testing stop time of the ... -
Forecasting of CO2 emissions from fuel combustion using trend analysis
(Pergamon-Elsevier Science Ltd, 2010)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 warming and climate change has ... -
Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization
(Elsevier Sci Ltd, 2019)This study aims to contribute to the development of energy policies for Turkey's greenhouse gas (GHG) emissions in the future. For this purpose, linear and nonlinear metabolic grey models are combined with the optimization ... -
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
(Elsevier Ltd, 2021)Balances in the energy sector have changed since the implementation of the Covid-19 pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity generation in European countries and how it will ... -
Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model
(Pergamon-Elsevier Science Ltd, 2020)Since the new coronavirus (COVID-19) outbreak spread from China to other countries, it has been a curiosity for how and how long the number of cases will increase. This study aims to forecast the number of confirmed cases ... -
Forecasting TRY/USD Exchange Rate with Various Artificial Neural Network Models
(Assoc Information Communication Technology Education & Science, 2017)Exchange rate forecasting is one of the most common subjects among the forecasting problem field. Researchers and academicians from many different disciplines proposed various approaches for better exchange rate forecasting. ... -
Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model
(Elsevier B.V., 2021)In this study, gross final energy consumption (GFEC), energy consumption of renewable energy sources (RES) and its share in France, Germany, Italy, Spain, Turkey and the United Kingdom (UK) are forecasted by 2030. A novel ... -
A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model
(Springer, 2018)This study proposes a new fuzzy time series model based on Fuzzy C-Regression Model clustering algorithm (FCRMF). There are two major superiorities of FCRMF in comparison with existing fuzzy time series model based on fuzzy ... -
A new fuzzy time series model based on robust clustering for forecasting of air pollution
(Elsevier Science Bv, 2018)In this study, a new Fuzzy Time Series (FTS) model based on the Fuzzy K-Medoid (FKM) clustering algorithm is proposed in order to forecast air pollution. FTS models generally have some advantages when compared with other ... -
Projections of Turkey's electricity generation and installed capacity from total renewable and hydro energy using fractional nonlinear grey Bernoulli model and its reduced forms
(Elsevier, 2020)In this study, forecasting of Turkey's total renewable and hydro energy installed capacity and electricity generation from 2019 to 2030 was investigated. For this purpose, fractional nonlinear grey Bernoulli model, briefly ...