Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment
出版年份 2022 全文链接
标题
Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment
作者
关键词
-
出版物
Sustainability
Volume 14, Issue 23, Pages 16064
出版商
MDPI AG
发表日期
2022-12-01
DOI
10.3390/su142316064
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Short-Term Travel-Time Prediction using Support Vector Machine and Nearest Neighbor Method
- (2022) Meng Meng et al. TRANSPORTATION RESEARCH RECORD
- CO2 Emissions and The Transport Sector in Malaysia
- (2022) Saeed Solaymani Frontiers in Environmental Science
- Prediction of transportation energy demand by novel hybrid meta-heuristic ANN
- (2022) Mohammad Ali Sahraei et al. ENERGY
- Using neural network modelling for estimation and forecasting of transport sector energy demand in developing countries
- (2022) Mohamed Maaouane et al. ENERGY CONVERSION AND MANAGEMENT
- Intelligent fault diagnosis for distribution grid considering renewable energy intermittency
- (2022) Md Shafiullah et al. NEURAL COMPUTING & APPLICATIONS
- Estimating the Long-Term Effects of National and International Sustainable Transport Policies on Energy Consumption and Emissions of Road Transport Sector of Pakistan
- (2022) Muhammad Asim et al. Sustainability
- Modeling and Forecasting Electricity Demand and Prices: A Comparison of Alternative Approaches
- (2022) Ismail Shah et al. Journal of Mathematics
- A Critical, Temporal Analysis of Saudi Arabia’s Initiatives for Greenhouse Gas Emissions Reduction in the Energy Sector
- (2022) Muhammad Muhitur Rahman et al. Sustainability
- Modeling retroreflectivity degradation of traffic signs using artificial neural networks
- (2022) Arshad Jamal et al. IATSS Research
- Greenhouse Gas Emissions from Solid Waste Management in Saudi Arabia—Analysis of Growth Dynamics and Mitigation Opportunities
- (2021) Muhammad Muhitur Rahman et al. Applied Sciences-Basel
- Artificial Neural Network Led Optimization of Oxyhydrogen Hybridized Diesel Operated Engine
- (2021) Muhammad Usman et al. Sustainability
- Optimal long-term prediction of Taiwan’s transport energy by convolutional neural network and wildebeest herd optimizer
- (2020) Shunyu Yao et al. Energy Reports
- Emissions from the road transport sector of New Zealand: key drivers and challenges
- (2019) Md Arif Hasan et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Modelling of Indonesian road transport energy sector in order to fulfill the national energy and oil reduction targets
- (2019) Deendarlianto et al. RENEWABLE ENERGY
- Development and application of China provincial road transport energy demand and GHG emissions analysis model
- (2018) Tianduo Peng et al. APPLIED ENERGY
- A Stochastic Frontier Analysis Approach for Estimating Energy Demand and Efficiency in the Transport Sector of Latin America and the Caribbean
- (2017) Manuel Llorca et al. ENERGY JOURNAL
- Study of the environmental Kuznets curve for transport carbon dioxide emissions in Saudi Arabia
- (2017) Atef Saad Alshehry et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Use of group method of data handling for transport energy demand modeling
- (2017) Geer Teng et al. Energy Science & Engineering
- Analysis of road transportation energy consumption demand in China
- (2016) Jian Chai et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- A load predictive energy management system for supercapacitor-battery hybrid energy storage system in solar application using the Support Vector Machine
- (2015) Yen Yee Chia et al. APPLIED ENERGY
- Hybrid short-term freeway speed prediction methods based on periodic analysis
- (2015) Yajie Zou et al. CANADIAN JOURNAL OF CIVIL ENGINEERING
- Energy consumption and emission projection for the road transport sector in Malaysia: an application of the LEAP model
- (2015) Musharrat Azam et al. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
- Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy
- (2014) Rishee K. Jain et al. APPLIED ENERGY
- General procedure for long-term energy-environmental planning for transportation sector of developing countries with limited data based on LEAP (long-range energy alternative planning) and EnergyPLAN
- (2014) A. Sadri et al. ENERGY
- Estimates of energy consumption in Turkey using neural networks with the teaching–learning-based optimization algorithm
- (2014) Ergun Uzlu et al. ENERGY
- Dynamic linkages among transport energy consumption, income and CO2 emission in Malaysia
- (2014) A.A. Azlina et al. ENERGY POLICY
- A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting
- (2014) Abdollah Kavousi-Fard et al. EXPERT SYSTEMS WITH APPLICATIONS
- Use of Support Vector Machine Models for Real-Time Prediction of Crash Risk on Urban Expressways
- (2014) Jian Sun et al. TRANSPORTATION RESEARCH RECORD
- Forecasting long-term energy demand of Croatian transport sector
- (2013) Tomislav Pukšec et al. ENERGY
- Projection of future transport energy demand of Jordan using adaptive neuro-fuzzy technique
- (2012) Ahmed Al-Ghandoor et al. ENERGY
- Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting
- (2012) Ning An et al. ENERGY
- Data mining techniques and applications – A decade review from 2000 to 2011
- (2012) Shu-Hsien Liao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Projection of future transport energy demand of Thailand
- (2011) Thirayoot Limanond et al. ENERGY POLICY
- Transport energy demand modeling of South Korea using artificial neural network
- (2011) Zong Woo Geem ENERGY POLICY
- Total Energy Demand Estimation in Iran Using Bees Algorithm
- (2011) M. A. Behrang et al. Energy Sources Part B-Economics Planning and Policy
- Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables
- (2010) Murat Kankal et al. APPLIED ENERGY
- Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model
- (2010) Rabia Shabbir et al. ENERGY
- MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION - WITH APPLICATIONS TO THE DEMAND FOR MONEY
- (2010) Søren Johansen et al. OXFORD BULLETIN OF ECONOMICS AND STATISTICS
- Applying support vector machine to predict hourly cooling load in the building
- (2009) Qiong Li et al. APPLIED ENERGY
- Forecasting the transport energy demand based on PLSR method in China
- (2009) Ming Zhang et al. ENERGY
- Energy demand estimation of South Korea using artificial neural network
- (2009) Zong Woo Geem et al. ENERGY POLICY
- The forecast of motor vehicle, energy demand and CO2 emission from Taiwan's road transportation sector
- (2009) I.J. Lu et al. ENERGY POLICY
- Hybrid evolutionary algorithms in a SVR-based electric load forecasting model
- (2009) Wei-Chiang Hong INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors
- (2008) A. Azadeh et al. ENERGY CONVERSION AND MANAGEMENT
- Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey
- (2008) Huseyin Ceylan et al. ENERGY POLICY
- Reduction potentials of energy demand and GHG emissions in China's road transport sector
- (2008) Xiaoyu Yan et al. ENERGY POLICY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started