首页|New Artificial Intelligence Research from Inha University Discussed (Optimal Ele ctrical Vehicle Charging Planning and Routing Using Real-Time Trained Energy Pre diction With Physics-Based Powertrain Model)

New Artificial Intelligence Research from Inha University Discussed (Optimal Ele ctrical Vehicle Charging Planning and Routing Using Real-Time Trained Energy Pre diction With Physics-Based Powertrain Model)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Incheon, South K orea, by NewsRx journalists, research stated, “Electric vehicles (EVs) are risin g in popularity due to technological developments and the nation’s decarbonizati on efforts, which are enticing drivers to move away from gasoline-dependent tran sportation. However, a major challenge in EV charging is optimal day-ahead charg ing planning under time-varying conditions, such as fluctuating charging prices and traffic conditions.” Financial supporters for this research include Korea Institute of Energy Technol ogy Evaluation And Planning; National Research Foundation of Korea.

Inha UniversityIncheonSouth KoreaA siaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.20)