Results 181 to 190 of about 66,529 (315)

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

A Hybrid EV Charging Architecture Integrating DC Fast Charging and Wireless Power Transfer

open access: yesEnergy Science &Engineering, EarlyView.
A hybrid EV charging architecture combining DC fast charging and wireless power transfer is proposed. The system achieves high efficiency, grid compliance, and reliable bidirectional operation, offering a scalable solution that enhances user convenience while paving the way for smarter, future‐ready EV charging infrastructure.
Ali Almaktoof   +3 more
wiley   +1 more source

An experimental investigation of unique high stepup boost converter for electric vehicle and solar photovoltaic. [PDF]

open access: yesSci Rep
Mariprasath T   +7 more
europepmc   +1 more source

Optimization and Cost Evaluation of an Autonomous Hybrid Renewable Energy System for Electrifying Rural Areas in Nigeria

open access: yesEnergy Science &Engineering, EarlyView.
This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu   +7 more
wiley   +1 more source

Fault Detection and Classification in Five‐Level Reduced Device Count Multilevel Inverter Using Fuzzy Logic System

open access: yesEnergy Science &Engineering, EarlyView.
A fuzzy logic–based diagnostic framework for a reduced device count multilevel inverter to accurately detect and classify open‐circuit faults. ABSTRACT The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle ...
Niraj Kumar Dewangan   +4 more
wiley   +1 more source

An Intrinsically Multimodal Self‐Powered Sensor Enhanced by Microstructured Powder Layer for AI‐Enabled Tactile Perception

open access: yesInterdisciplinary Materials, EarlyView.
This study presents a self‐powered, intrinsically multimodal tactile sensor capable of both static and dynamic pressure sensing. Enhanced with a microstructured polytetrafluoroethylene powder layer, it enables high‐accuracy material recognition and surface texture classification, offering AI‐compatible tactile perception for robotic systems.
Kequan Xia   +3 more
wiley   +1 more source

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