IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v230y2018icp344-356.html
   My bibliography  Save this item

Estimation of the energy demand of electric buses based on real-world data for large-scale public transport networks

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Zhao, Li & Ke, Hanchen & Huo, Weiwei, 2023. "A frequency item mining based energy consumption prediction method for electric bus," Energy, Elsevier, vol. 263(PD).
  2. Seyed Mahdi Miraftabzadeh & Babak Ranjgar & Alessandro Niccolai & Michela Longo, 2024. "Comparative Analysis of Sustainable Electrification in Mediterranean Public Transportation," Sustainability, MDPI, vol. 16(7), pages 1-24, March.
  3. Viana-Fons, Joan Dídac & Payá, Jorge, 2024. "HVAC system operation, consumption and compressor size optimization in urban buses of Mediterranean cities," Energy, Elsevier, vol. 296(C).
  4. Liu, Xiaohan & Yeh, Sonia & Plötz, Patrick & Ma, Wenxi & Li, Feng & Ma, Xiaolei, 2024. "Electric bus charging scheduling problem considering charging infrastructure integrated with solar photovoltaic and energy storage systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
  5. Zhang, Xinfang & Zhang, Zhe & Liu, Yang & Xu, Zhigang & Qu, Xiaobo, 2024. "A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation," Renewable Energy, Elsevier, vol. 234(C).
  6. Papa, Gregor & Santo Zarnik, Marina & Vukašinović, Vida, 2022. "Electric-bus routes in hilly urban areas: Overview and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
  7. Yang, Lan & Hu, Zhiqiang & Wang, Liang & Liu, Yang & He, Jiangbo & Qu, Xiaobo & Zhao, Xiangmo & Fang, Shan, 2024. "Entire route eco-driving method for electric bus based on rule-based reinforcement learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  8. Padraigh Jarvis & Laura Climent & Alejandro Arbelaez, 2024. "Smart and sustainable scheduling of charging events for electric buses," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 22-56, April.
  9. Li, Lu & Lo, Hong K. & Huang, Wei & Xiao, Feng, 2021. "Mixed bus fleet location-routing-scheduling under range uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 155-179.
  10. Zhang, Hailong & Peng, Jiankun & Tan, Huachun & Dong, Hanxuan & Ding, Fan & Ran, Bin, 2020. "Tackling SOC long-term dynamic for energy management of hybrid electric buses via adaptive policy optimization," Applied Energy, Elsevier, vol. 269(C).
  11. Li, Qianwen & Leng, Yunhan & Yao, Handong & Pei, Mingyang, 2024. "Assessment of transit bus electricity consumption using a random parameters approach," Energy, Elsevier, vol. 307(C).
  12. Jiao, Qianhui & Wang, Jinghui & Cheng, Long & Chen, Xuewu & Yu, Qing, 2025. "Carbon emission reduction effects of heterogeneous car travelers under green travel incentive strategies," Applied Energy, Elsevier, vol. 379(C).
  13. Teresa Pamuła & Danuta Pamuła, 2022. "Prediction of Electric Buses Energy Consumption from Trip Parameters Using Deep Learning," Energies, MDPI, vol. 15(5), pages 1-19, February.
  14. Jiang, Junyu & Yu, Yuanbin & Min, Haitao & Cao, Qiming & Sun, Weiyi & Zhang, Zhaopu & Luo, Chunqi, 2023. "Trip-level energy consumption prediction model for electric bus combining Markov-based speed profile generation and Gaussian processing regression," Energy, Elsevier, vol. 263(PD).
  15. Roman Michael Sennefelder & Rubén Martín-Clemente & Ramón González-Carvajal, 2023. "Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression," Energies, MDPI, vol. 16(11), pages 1-14, May.
  16. Pan, Yingjiu & Fang, Wenpeng & Ge, Zhenzhen & Li, Cheng & Wang, Caifeng & Guo, Baochang, 2024. "A hybrid on-line approach for predicting the energy consumption of electric buses based on vehicle dynamics and system identification," Energy, Elsevier, vol. 290(C).
  17. Liu, Zhengke & Ma, Xiaolei & Zhuo, Siyu & Liu, Xiaohan, 2024. "Optimizing shared charging services at sustainable bus charging hubs: A queue theory integration approach," Renewable Energy, Elsevier, vol. 237(PC).
  18. Brinkel, Nico & Zijlstra, Marle & van Bezu, Ronald & van Twuijver, Tim & Lampropoulos, Ioannis & van Sark, Wilfried, 2023. "A comparative analysis of charging strategies for battery electric buses in wholesale electricity and ancillary services markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
  19. Purnell, K. & Bruce, A.G. & MacGill, I., 2022. "Impacts of electrifying public transit on the electricity grid, from regional to state level analysis," Applied Energy, Elsevier, vol. 307(C).
  20. Teresa Pamuła & Wiesław Pamuła, 2020. "Estimation of the Energy Consumption of Battery Electric Buses for Public Transport Networks Using Real-World Data and Deep Learning," Energies, MDPI, vol. 13(9), pages 1-17, May.
  21. Pu, Yifan & Zhu, Rui & Wang, Shu & You, Linlin & Zhong, Teng & Xu, Yanqing & Qin, Zheng, 2025. "City-scale roadside electric vehicle parking and charging capacity: A deep learning augmented street-view-image data mining and analytic framework," Applied Energy, Elsevier, vol. 389(C).
  22. Hatem Abdelaty & Moataz Mohamed, 2021. "A Prediction Model for Battery Electric Bus Energy Consumption in Transit," Energies, MDPI, vol. 14(10), pages 1-26, May.
  23. Dong, Changyin & Xiong, Zhuozhi & Li, Ni & Yu, Xinlian & Liang, Mingzhang & Zhang, Chu & Li, Ye & Wang, Hao, 2025. "A real-time prediction framework for energy consumption of electric buses using integrated Machine learning algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
  24. Alwesabi, Yaseen & Avishan, Farzad & Yanıkoğlu, İhsan & Liu, Zhaocai & Wang, Yong, 2022. "Robust strategic planning of dynamic wireless charging infrastructure for electric buses," Applied Energy, Elsevier, vol. 307(C).
  25. Chen, Haoqian & Sui, Yi & Shang, Wen-long & Sun, Rencheng & Chen, Zhiheng & Wang, Changying & Han, Chunjia & Zhang, Yuqian & Zhang, Haoran, 2022. "Towards renewable public transport: Mining the performance of electric buses using solar-radiation as an auxiliary power source," Applied Energy, Elsevier, vol. 325(C).
  26. Manzolli, Jônatas Augusto & Trovão, João Pedro & Antunes, Carlos Henggeler, 2022. "A review of electric bus vehicles research topics – Methods and trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
  27. Li, Pengshun & Zhang, Yuhang & Zhang, Yi & Zhang, Yi & Zhang, Kai, 2021. "Prediction of electric bus energy consumption with stochastic speed profile generation modelling and data driven method based on real-world big data," Applied Energy, Elsevier, vol. 298(C).
  28. Dong, Changyin & Xiong, Zhuozhi & Zhang, Chu & Li, Ni & Li, Ye & Xie, Ning & Zhang, Jiarui & Wang, Hao, 2025. "A transformer-based approach for deep feature extraction and energy consumption prediction of electric buses based on driving distances," Applied Energy, Elsevier, vol. 380(C).
  29. Marcin Połom, 2021. "Technology Development and Spatial Diffusion of Auxiliary Power Sources in Trolleybuses in European Countries," Energies, MDPI, vol. 14(11), pages 1-18, May.
  30. He, Yi & Liu, Zhaocai & Zhang, Yiming & Song, Ziqi, 2023. "Time-dependent electric bus and charging station deployment problem," Energy, Elsevier, vol. 282(C).
  31. Lim, Lek Keng & Muis, Zarina Ab & Ho, Wai Shin & Hashim, Haslenda & Bong, Cassendra Phun Chien, 2023. "Review of the energy forecasting and scheduling model for electric buses," Energy, Elsevier, vol. 263(PD).
  32. Krzysztof Zagrajek & Józef Paska & Mariusz Kłos & Karol Pawlak & Piotr Marchel & Magdalena Bartecka & Łukasz Michalski & Paweł Terlikowski, 2020. "Impact of Electric Bus Charging on Distribution Substation and Local Grid in Warsaw," Energies, MDPI, vol. 13(5), pages 1-13, March.
  33. Gnap Jozef & Dočkalik Marek & Dydkowski Grzegorz, 2021. "Examination of the Development of New Bus Registrations with Alternative Powertrains in Europe," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 12(1), pages 147-158, January.
  34. Harris, Andrew & Soban, Danielle & Smyth, Beatrice M. & Best, Robert, 2020. "A probabilistic fleet analysis for energy consumption, life cycle cost and greenhouse gas emissions modelling of bus technologies," Applied Energy, Elsevier, vol. 261(C).
  35. Li, Pengshun & Zhang, Yi & Zhang, Yi & Zhang, Kai & Jiang, Mengyan, 2021. "The effects of dynamic traffic conditions, route characteristics and environmental conditions on trip-based electricity consumption prediction of electric bus," Energy, Elsevier, vol. 218(C).
  36. Boud Verbrugge & Mohammed Mahedi Hasan & Haaris Rasool & Thomas Geury & Mohamed El Baghdadi & Omar Hegazy, 2021. "Smart Integration of Electric Buses in Cities: A Technological Review," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
  37. Mingye Zhang & Moataz Mohamed & Ahmed Foda & Yihua Guo, 2025. "Optimal Electric Bus Charging Scheduling with Multiple Vehicle and Charger Types Considering Compatibility," Sustainability, MDPI, vol. 17(8), pages 1-22, April.
  38. Shiddalingeshwar Channabasappa Devihosur & Anurag Chidire & Tobias Massier & Thomas Hamacher, 2024. "Estimating the Energy Demand and Carbon Emission Reduction Potential of Singapore’s Future Road Transport Sector," Sustainability, MDPI, vol. 16(11), pages 1-16, June.
  39. Varga, Balázs & Tettamanti, Tamás & Kulcsár, Balázs, 2019. "Energy-aware predictive control for electrified bus networks," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  40. Rupp, Matthias & Handschuh, Nils & Rieke, Christian & Kuperjans, Isabel, 2019. "Contribution of country-specific electricity mix and charging time to environmental impact of battery electric vehicles: A case study of electric buses in Germany," Applied Energy, Elsevier, vol. 237(C), pages 618-634.
  41. Ali Saadon Al-Ogaili & Ali Q. Al-Shetwi & Hussein M. K. Al-Masri & Thanikanti Sudhakar Babu & Yap Hoon & Khaled Alzaareer & N. V. Phanendra Babu, 2021. "Review of the Estimation Methods of Energy Consumption for Battery Electric Buses," Energies, MDPI, vol. 14(22), pages 1-28, November.
  42. Karla Schröder & Gonzalo Farias & Sebastián Dormido-Canto & Ernesto Fabregas, 2024. "Comparative Analysis of Deep Learning Methods for Fault Avoidance and Predicting Demand in Electrical Distribution," Energies, MDPI, vol. 17(11), pages 1-13, June.
  43. Thorne, Rebecca Jayne & Hovi, Inger Beate & Figenbaum, Erik & Pinchasik, Daniel Ruben & Amundsen, Astrid Helene & Hagman, Rolf, 2021. "Facilitating adoption of electric buses through policy: Learnings from a trial in Norway," Energy Policy, Elsevier, vol. 155(C).
  44. Jose Diaz & Borja Pérez & Francisco J. Fernández, 2024. "Energy Assessment of Alternative City Bus Lines: A Case Study in Gijón, Spain," Sustainability, MDPI, vol. 16(10), pages 1-17, May.
  45. Bie, Yiming & Liu, Yajun & Li, Shiwu & Wang, Linhong, 2022. "HVAC operation planning for electric bus trips based on chance-constrained programming," Energy, Elsevier, vol. 258(C).
  46. Ma, Xiaolei & Miao, Ran & Wu, Xinkai & Liu, Xianglong, 2021. "Examining influential factors on the energy consumption of electric and diesel buses: A data-driven analysis of large-scale public transit network in Beijing," Energy, Elsevier, vol. 216(C).
  47. Basso, Franco & Feijoo, Felipe & Pezoa, Raúl & Varas, Mauricio & Vidal, Brian, 2024. "The impact of electromobility in public transport: An estimation of energy consumption using disaggregated data in Santiago, Chile," Energy, Elsevier, vol. 286(C).
  48. Bastida-Molina, Paula & Ribó-Pérez, David & Gómez-Navarro, Tomás & Hurtado-Pérez, Elías, 2022. "What is the problem? The obstacles to the electrification of urban mobility in Mediterranean cities. Case study of Valencia, Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.