Results 101 to 110 of about 26,450 (254)

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

open access: yesEnergy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang   +3 more
wiley   +1 more source

Le lion fanfaron / texte Carl Norac ; ill. Frédéric du Bus

open access: yes, 1991
Collection : PagivoresAppartient à l’ensemble documentaire : UnivJeun0Contient une table des matièresAvec mode ...
Norac, Carl (1960-....). Auteur du texte
core  

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

De‐Carbonizing the Transport Sector on the University Campus: A Techno‐Economic‐Environment Assessment and Optimization of PV Fed Electric Bicycles Amid Global Fuel Crisis

open access: yesEnergy Science &Engineering, EarlyView.
This study develops and evaluates a solar PV‐fed electric bicycle system optimized for university campuses in Pakistan. The techno‐economic analysis demonstrates significant fuel savings, emission reductions, and sustainability benefits, promoting a cost‐effective, eco‐friendly, and renewable transportation alternative amid rising global fuel and ...
Muhammad Abdullah Khan   +4 more
wiley   +1 more source

Modelling travellers' choice of information sources and of mode [PDF]

open access: yes, 2010
This study investigates the travellers' choice of information sources and their subsequent mode choice decisions. The goal of this study is to develop a comprehensive choice model that can capture the information acquisition process by predicting the ...
Habib Pathan, Agha Faisal
core  

Adaptive Fuzzy Energy Management of Wind‐Battery Systems With Flexible Desalination Load

open access: yesEnergy Science &Engineering, EarlyView.
An adaptive fuzzy energy management strategy is proposed for a wind‐battery‐powered reverse osmosis desalination system. The controller dynamically adjusts the desalination load based on wind power availability and the battery state of charge to reduce battery stress.
Mustafa Fadel   +3 more
wiley   +1 more source

Thermal Analysis of Cells Behavior in Modular Lithium Iron Phosphate Battery System in Urban Electric Bus Fleet

open access: yesEnergy Science &Engineering, EarlyView.
Real‐world analysis of lithium iron phosphate battery systems in electric buses shows minimal short‐term temperature impact on energy but significant long‐term degradation at higher temperatures. Efficient cooling and thermal uniformity are critical to prevent accelerated aging, maintain performance, and ensure safety under dynamic operating conditions.
Wiktoria Kaczmarek   +4 more
wiley   +1 more source

Optimizing feeder bus network based on access mode shifts

open access: yes, 2012
The methodology introduced in this dissertation is to optimally find a feeder bus network in a suburban area for an existing rail system that connects the suburban area with the Central Business District (CBD). The objective is to minimize the total cost,
Huang, Zhaodong
core  

Lifetime Analysis of Grid‐Tied Photovoltaic System Considering DC–DC Converter Ripple and Efficiency

open access: yesEnergy Science &Engineering, EarlyView.
This work presents a comprehensive lifetime analysis of a two‐stage grid‐tied photovoltaic (PV) system by incorporating critical factors such as input current ripple and operating voltage variations, which are often neglected in conventional studies.
Surla Vishnu Kanchana Naresh   +2 more
wiley   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

open access: yesEnergy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman   +5 more
wiley   +1 more source

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