Future electricity tariffs: designing electricity rates fit for the energy transition

Energy Policy, Journal Year: 2025, Volume and Issue: 202, P. 114596 - 114596

Published: March 22, 2025

Language: Английский

Electric Vehicle Charging Station Recommendations Considering User Charging Preferences Based on Comment Data

Energies, Journal Year: 2024, Volume and Issue: 17(21), P. 5514 - 5514

Published: Nov. 4, 2024

User preferences are important for electric vehicle charging station (EVCS) recommendations, but they have not been deeply analyzed. Therefore, in this study, user identified and applied to EVCS recommendations using a hybrid model that integrates LightGBM singular value decomposition (SVD). In the model, is used predict ratings according users’ comments regarding orders, feature importance reported by each output. Then, co-occurrence matrix between users stations (EVCSs) constructed decomposed SVD. Based on results, final evaluated scores of EVCSs can be calculated. Upon ranking scores, recommendation results obtained, taking into account preferences. The sample data consist 28,306 orders from 508 at 241 Linyi, Shandong, China. experimental show proposed outperforms benchmark models terms precision, recall, F1 score, its score increased 96% compared with traditional item-based collaborative filtering method counts recommendations.

Language: Английский

Willingness of employees to accept bidirectional charging at the workplace

Transportation Research Part D Transport and Environment, Journal Year: 2024, Volume and Issue: 139, P. 104517 - 104517

Published: Dec. 18, 2024

Language: Английский