Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest
Climate change, global warming, pollution, and energy crisis are the major growing concerns of this era, which have initiated the electrification of transport. The electrification of roadway transport has the potential to drastically reduce pollution and the growing demand for energy and to increase...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/10/3679 |
| _version_ | 1827669225692463104 |
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| author | Sanchari Deb Xiao-Zhi Gao |
| author_facet | Sanchari Deb Xiao-Zhi Gao |
| author_sort | Sanchari Deb |
| collection | DOAJ |
| description | Climate change, global warming, pollution, and energy crisis are the major growing concerns of this era, which have initiated the electrification of transport. The electrification of roadway transport has the potential to drastically reduce pollution and the growing demand for energy and to increase the load demand of the power grid, thereby giving a rise to technological and commercial challenges. Thus, charging load prediction is a crucial and demanding issue for maintaining the security and stability of power systems. During recent years, random forest has gained a lot of popularity as a powerful machine learning technique for classification as well as regression analysis. This work develops a random forest (RF)-based approach for predicting charging demand. The proposed method is validated for the prediction of public e-bus charging demand in the city of Helsinki, Finland. The simulation results demonstrate the effectiveness of our scheme. |
| first_indexed | 2024-03-10T03:58:26Z |
| format | Article |
| id | doaj.art-d70bb7e6e7b84cb1920d0c96de52d777 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T03:58:26Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d70bb7e6e7b84cb1920d0c96de52d7772023-11-23T10:51:34ZengMDPI AGEnergies1996-10732022-05-011510367910.3390/en15103679Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random ForestSanchari Deb0Xiao-Zhi Gao1School of Engineering, University of Warwick, Coventry CV4 7AL, UKSchool of Computing, University of Eastern Finland, 70211 Kuopio, FinlandClimate change, global warming, pollution, and energy crisis are the major growing concerns of this era, which have initiated the electrification of transport. The electrification of roadway transport has the potential to drastically reduce pollution and the growing demand for energy and to increase the load demand of the power grid, thereby giving a rise to technological and commercial challenges. Thus, charging load prediction is a crucial and demanding issue for maintaining the security and stability of power systems. During recent years, random forest has gained a lot of popularity as a powerful machine learning technique for classification as well as regression analysis. This work develops a random forest (RF)-based approach for predicting charging demand. The proposed method is validated for the prediction of public e-bus charging demand in the city of Helsinki, Finland. The simulation results demonstrate the effectiveness of our scheme.https://www.mdpi.com/1996-1073/15/10/3679chargerdemandE busrandom forestelectric vehiclecharging |
| spellingShingle | Sanchari Deb Xiao-Zhi Gao Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest Energies charger demand E bus random forest electric vehicle charging |
| title | Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest |
| title_full | Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest |
| title_fullStr | Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest |
| title_full_unstemmed | Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest |
| title_short | Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest |
| title_sort | prediction of charging demand of electric city buses of helsinki finland by random forest |
| topic | charger demand E bus random forest electric vehicle charging |
| url | https://www.mdpi.com/1996-1073/15/10/3679 |
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