Construction of a Prediction Model for Energy Consumption in Urban Rail Transit Operations Using a Bottom–Up Approach

Global climate change necessitates an immediate reduction in carbon emissions. This study aimed to categorize rail transit energy consumption factors into “traction energy consumption” and “non-traction comprehensive energy consumption” by employing a bottom–up approach and using a sample of urban r...

Full description

Bibliographic Details
Published in:	Energies
Main Authors:	Boyu Chen, Ye Lin
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	energy conservation and emission reduction multiple linear regression analysis random forest regression model urban rail transit energy consumption
Online Access:	https://www.mdpi.com/1996-1073/18/4/888

Similar Items

Hourly energy consumption characteristics of metro rail transit: Train traction versus station operation
by: Bowen Guan, et al.
Published: (2023-10-01)

Deep Energy-saving and Consumption Reduction Strategies for Urban Rail Transit
by: LAI Zhiping
Published: (2024-08-01)

Impact Analysis of Planning and Design Elements on Urban Rail Transit Energy Consumption
by: GUO Yingjie, et al.
Published: (2025-05-01)

Strategy of Fully Automatic Operation and Energy Conservation for Rail Transit
by: YANG Yanjie, et al.
Published: (2018-01-01)

Prediction of Traction Energy Consumption for Urban Rail Transit Trains in Relative Speed Mode
by: GUO Tuansheng
Published: (2024-12-01)

Design of Urban Rail Transit Operation Energy Saving Optimal Control Method
by: ZHANG Hongguang
Published: (2017-01-01)

Design and development of carbon management platform for rail transit and new energy equipment
by: ZHANG Dongxu, et al.
Published: (2025-05-01)

Forecasting Short-Term Photovoltaic Energy Production to Optimize Self-Consumption in Home Systems Based on Real-World Meteorological Data and Machine Learning
by: Paweł Kut, et al.
Published: (2025-08-01)

The role of development and financial risk in agricultural energy consumption: an empirical analysis based on country panel data and smooth transition regression
by: M. Amiri, et al.
Published: (2024-11-01)

Modeling the Impact of Traffic Parameters on Electric Vehicle Energy Consumption
by: Adriana Skuza, et al.
Published: (2024-10-01)

Integrated Development of Urban Rail Transit and Energy Systems Supported by Underground Space
by: Qin Boyu, et al.
Published: (2023-02-01)

An Energy-Efficient Timetable Optimization Approach in a Bi-DirectionUrban Rail Transit Line: A Mixed-Integer Linear Programming Model
by: Huanhuan Lv, et al.
Published: (2019-07-01)

Unveiling passenger satisfaction in rail transit through a consumption values perspective
by: Siti Norida Wahab, et al.
Published: (2025-03-01)

Prediction of Building Electricity Consumption Based on Joinpoint−Multiple Linear Regression
by: Hao Yang, et al.
Published: (2022-11-01)

Evaluating Household Consumption Patterns: Comparative Analysis Using Ordinary Least Squares and Random Forest Regression Models
by: En Lee, et al.
Published: (2024-06-01)

Prediction of daily energy consumption for ship special coating maintenance based on stochastic forest regression
by: Ruiping GAN, et al.
Published: (2024-01-01)

Practice and Exploration in Shenzhen Rail Transit Planning and Construction
by: WANG Yuanhui
Published: (2025-04-01)

MULTIFACTOR ECONOMETRIC MODELS FOR ENERGY EFFICIENCY IN THE EU
by: Gheorghe ZAMAN, et al.
Published: (2007-06-01)

Energy consumption forecasting and thermal insulator selection with random forest regression
by: Mohammed Fellah, et al.
Published: (2025-09-01)

Hybridization of ADM-Type Rail Service Cars for Enhanced Efficiency and Environmental Sustainability
by: Ziyoda Mukhamedova, et al.
Published: (2025-05-01)

Speed Prediction of Urban Rail Transit Trains Based on Random Forest & Neural Network
by: QIN Jiannan, et al.
Published: (2022-12-01)

Evaluation of the Operational Efficiency and Energy Efficiency of Rail Transit in China’s Megacities Using a DEA Model
by: Hao Zhang, et al.
Published: (2022-10-01)

An Overview on Rail Transit Energy Internet
by: DING Rongjun, et al.
Published: (2016-01-01)

Speed Prediction of Urban Rail Transit Trains Based on Random Forest & Neural Network
by: QIN Jiannan, et al.
Published: (2022-12-01)

Improving Effectiveness of Energy Baseline Using Deep Learning
by: Chun-Wei Chen, et al.
Published: (2025-09-01)

The impacts of light rail on residential property values in a non-zoning city: A new test on the Houston METRORail transit line
by: Qisheng Pan
Published: (2019-04-01)

Prediction Models for the Milling of Heat-Treated Beech Wood Based on the Consumption of Energy
by: Peter Koleda, et al.
Published: (2024-10-01)

Research on Urban Rail Train Energy-saving Control Strategy Based on Genetic Algorithm
by: GAO Qi, et al.
Published: (2024-05-01)

Research on Electric Energy Measurement Method of Rail Transit Train
by: ZHOU Xiaoling, et al.
Published: (2022-04-01)

Research on Electric Energy Measurement Method of Rail Transit Train
by: ZHOU Xiaoling, et al.
Published: (2022-04-01)

Passenger Flows Estimation of Light Rail Transit (LRT) System in Izmir, Turkey Using Multiple Regression and ANN Methods
by: Mustafa Özuysal, et al.
Published: (2012-01-01)

Consumer Attitudes toward Energy Reduction and Changing Energy Consumption Behaviors
by: Gordon Rausser, et al.
Published: (2023-02-01)

Urban Rail Transit Vehicle Light-weighting and Energy-saving Technologies
by: Chengpeng CAO, et al.
Published: (2024-02-01)

Analysis of Influencing Factors and Noise Reduction Effects of Viaduct Noise in City Rail Transit
by: WANG Chaoliang, et al.
Published: (2025-01-01)

Investigating the Multiscale Impact of Environmental Factors on the Integrated Use of Dockless Bike-Sharing and Urban Rail Transit
by: Wenjing Liu, et al.
Published: (2023-12-01)

Learning Algorithms of SVR, DTR, RFR, and XGBoost (Case Study: Predictive Maintenance of Fuel Consumption)
by: Hanna Arini Parhusip, et al.
Published: (2025-07-01)

Analysis of consumption behaviour concerning current income and lags consumption: Empirical evidence from Pakistan
by: Abdul Qayyum Khan, et al.
Published: (2014-10-01)

Trip Based Modeling of Fuel Consumption in Modern Heavy-Duty Vehicles Using Artificial Intelligence
by: Sasanka Katreddi, et al.
Published: (2021-12-01)

Heterogeneity Analysis of Urban Rail Transit on Housing with Different Price Levels: A Case Study of Chengdu, China
by: Pengyu Ren, et al.
Published: (2021-12-01)

Enhancing Agricultural Productivity through Machine Learning: A Model for Accurate Crop Yield Prediction
by: adlin jebaumari, et al.
Published: (2025-09-01)