Results 151 to 160 of about 99,612 (292)

Introducing needs‐based epilepsy follow‐up: Patient satisfaction compared to standard of care follow‐up

Epileptic Disorders, EarlyView.
Abstract Background People with epilepsy have diverse healthcare needs, but limited resources make tailored management challenging. To allocate resources where they are most urgently required, we developed an openly available needs‐based follow‐up model.
Isak Birkeland, Eline Dahl‐Hansen, Marte Roa Syvertsen, Eivind Kolstad, Yvonne Myrtvedt Wollertsen, Atle Lillebø, Solveig Øvrebø, Elin Ese, Amund Leinaas, Nils Erik Gilhus, Marte Helene Bjørk   +10 more
wiley   +1 more source

Location allocation and capacity optimization for a PV and battery integrated hybrid community electric vehicle charging station. [PDF]

Sci Rep
Kayal P, Braciník P.
europepmc   +1 more source

Shared Mobility Policy Playbook [PDF]

, 2019
Cohen, Adam, Davis, Richard, Farrar, Emily, Nichols, Aqshems, Randolph, Michael, Shaheen, Susan, PhD   +5 more
core  

A Method for Planning a Fast Charging Station

, 2019
Denne masteroppgaven foreslår en ny planleggingsmetodikk for hurtigladestasjoner. Ny tenking når man skal planlegge nye, store laster i nettet vil være nødvendig for at framtidens distribusjonsnett skal være samfunnsøkonmisk lønnsomt. Samarbeid mellom nettselskap og den som skal eie ladestasjonen vil være avgjørende for å utnytte strømnettet på en best
openaire   +1 more source

Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs

Energy Science &Engineering, EarlyView.
This study explores thermal runaway in lithium‐iron‐phosphate energy storage battery packs through multi‐physics coupling simulation. Thermal runaway evolves from battery cells (experiencing overcharge, bulging, safety valve opening, and gas venting) to battery clusters (a) and propagates within the battery pack (b). Simulation results indicate: stress
Dongliang Guo, Lei Sun, Rong Sun, Jun Jia, Peng Xiao, Hailong Ruan, Xin Jiang   +6 more
wiley   +1 more source

Optimization of urban and rural electric bus scheduling considering mobile battery pack deployment. [PDF]

PLoS One
Chen S, Chang A, Cong Y.
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Improved artificial hummingbird algorithm for electric vehicle charging station fast and slow charging location determination method. [PDF]

PLoS One
Fan S, Zeng X, Li L, Xu S.
europepmc   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source

Energy, environment, and economy implications of electrifying minibus taxis in African cities. [PDF]

Sci Rep
Dumoulin J, Pena-Bello A, Jeannin N, Ballif C, Wyrsch N.   +4 more
europepmc   +1 more source