Results 81 to 90 of about 3,275 (168)

A scalable cloud-integrated AI platform for real-time optimization of EV charging and resilient microgrid energy management. [PDF]

Sci Rep
Singh AR, Rathore RS, Jiang W, Thakare A, Kumar RS, Khadse CB, Addis HK.   +6 more
europepmc   +1 more source

Array antenna with series-fed configuration providing high radiation performances for automotive radar in IoT applications. [PDF]

Sci Rep
Zakeri H, Parvaneh M, Moradi G, Alibakhshikenari M, Virdee BS, Dalarsson M.   +5 more
europepmc   +1 more source

Electric vehicles charging stations load forecasting based on hybrid XGBoost-BiLSTM model. [PDF]

Sci Rep
Mansour HSE, Mohamed AS, Abdel-Aziz M.
europepmc   +1 more source

Integrated energy, environmental, and economic optimization for energy management systems in PHEVs considering traffic conditions. [PDF]

Sci Rep
Montazeri-Gh M, Alimohammadi E.
europepmc   +1 more source

A review of construction and sustainable recycling strategies of lithium-ion batteries across electric vehicle platforms. [PDF]

RSC Adv
Le PA.
europepmc   +1 more source

Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]

Sci Rep
Hamedani MMK, Jahangiri A, Mehri R, Shamim AG.   +3 more
europepmc   +1 more source

A hybrid optimization and graph network for sustainable electric vehicle charging using a dual active bridge converter and renewable energy. [PDF]

Sci Rep
Narayanan P, Kandasamy P, Kandasamy N, Selvaraj J.   +3 more
europepmc   +1 more source

Adaptive linear MPC for a PMSM-driven autonomous EV with a filtered third-order generalized integrator observer. [PDF]

Sci Rep
Ismail MM, Al-Dhaifallah M, Rezk H, Refaat MM, Junejo AK.   +4 more
europepmc   +1 more source

Self-Powered Sensing System for Electric Vehicle Drive Condition Monitoring and Driving Condition Identification in Intelligent Electric Vehicles. [PDF]

Research (Wash D C)
Tang J, Li H, Hu Y, Shang Y, Li H, Tian H, Liu P, Zhou L, Zhang J, Zhao H.   +9 more
europepmc   +1 more source

A machine learning framework for predicting fuel consumption and CO2 emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation. [PDF]

PLoS One
Ibrahim RA, Zakzouk NE.
europepmc   +1 more source