Results 221 to 230 of about 356,866 (308)

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

Fuel cell PV fed hybrid energy sources for 3 phase matrix converter using 3D Space Vector Modulation. [PDF]

open access: yesSci Rep
Palanisamy R   +7 more
europepmc   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan   +4 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

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

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

open access: yesEnergy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine   +5 more
wiley   +1 more source

Author Correction: National analysis of cancer mortality and proximity to nuclear power plants in the United States. [PDF]

open access: yesNat Commun
Alwadi Y   +10 more
europepmc   +1 more source

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