Results 211 to 220 of about 724,994 (302)

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam   +3 more
wiley   +1 more source

Soticlestat as an adjunctive therapy in children and young adults with Dravet syndrome

open access: yesEpilepsia, EarlyView.
Overview of the phase 3 trial evaluating soticlestat as adjunctive therapy in children and young adults with Dravet syndrome. Abstract Objective This study evaluated the efficacy, safety, and tolerability of soticlestat as adjunctive therapy in children and young adults with Dravet syndrome (DS).
Joseph Sullivan   +14 more
wiley   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

open access: yesEnergy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga   +6 more
wiley   +1 more source

Flexible Sensors for Battery Health Monitoring. [PDF]

open access: yesNanomicro Lett
Wang X   +13 more
europepmc   +1 more source

Performance Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT This article is based on the storage test of individual batteries. We combined the data analysis with the deductive simulation to predict the health status of the entire battery pack. Besides, we combined the storage process and discharge process of the battery pack based on the single‐cell storage test.
Liteng Zeng   +3 more
wiley   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

open access: yesEnergy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan   +5 more
wiley   +1 more source

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