Results 81 to 90 of about 3,074 (245)

Urban–Rural Comparative Assessment of Hybrid Energy Systems in Southern Africa: A Systematic Review and Bibliometric Analysis

Energy Science &Engineering, EarlyView.
This study synthesizes urban hybrid energy system deployments in Southern Africa, revealing dominant PV–battery configurations, strong cost and emissions benefits, and persistent research concentration in South Africa, highlighting opportunities to scale resilient, low‐carbon urban energy solutions across the region.
Kehinde A. Adeyeye, Charles Mbohwa
wiley   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source

Bidirectional Wireless Power Transfer for Electric Vehicle Energy Systems Integrating Modelling, Intelligent Control, Communication and Cybersecurity: A Review

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates the evolution of wireless electric vehicle charging from unidirectional wireless power transfer to bidirectional wireless power transfer (BWPT) and toward future intelligent, autonomous wireless energy systems.
P. V. Elumalai, Yuvaraja Shanmugam, A. Vivek Anand, Mesith Chaimanee, Choon Kit Chan, S. Prabhakar, R. Narayanamoorthi   +6 more
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Infrastructure‐Constrained Pathways for Large‐Scale CO2 Mitigation via CCUS in China's Coal‐Fired Power Sector

Energy Science &Engineering, EarlyView.
This study develops a multi‐objective optimization framework to evaluate large‐scale carbon capture, utilization, and storage (CCUS) deployment in China's coal‐fired power sector. By jointly considering cost, net CO2 mitigation, and system robustness under infrastructure constraints, the analysis reveals Pareto‐optimal deployment patterns and ...
Linjie Fang, Xu Tang, Yuqing Jiang
wiley   +1 more source

Using SUMO for Test Automation and Demonstration of Digitalized Railway Concepts

SUMO Conference Proceedings
The Train Dispatcher in the Cloud (ZLiC) is a cloud-based approach to digitalize the German Zugleitbetrieb (comparable to American track warrant control). The ZLiC aims to replace the train dispatcher with speech to text, natural-language understanding,
Arne Boockmeyer, Dirk Friedenberger, Lukas Pirl   +2 more
doaj   +1 more source

Transmission Loss Prediction Using Neural Networks With Correlation‐Derived Input Features

Energy Science &Engineering, EarlyView.
A neural network model for transmission loss prediction is enhanced using correlation‐based derived features from operational and meteorological data. The approach improves prediction accuracy by capturing temporal behavior without increasing neural network architectural complexity.
Jovana Tuševljak, Željko Đurišić
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

“They were sort of in the room with me”: a qualitative study about callers’ experience of video streaming during medical emergency calls

Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Background During the recent years, emergency services in several countries have integrated video streaming into medical emergency calls, and research on the topic has gained increased focus.
Siri Idland, Kristin Häikiö, Jo Kramer-Johansen, Magnus Hjortdahl   +3 more
doaj   +1 more source

Use of Hydrogen Energy Storage to Stabilize Solar Power Output With an Energy Efficiency Analysis for European Union Member Countries

Energy Science &Engineering, EarlyView.
Photovoltaic solar power production can be stabilized using hydrogen energy storage. Gaseous hydrogen is produced, compressed, stored, and consumed in fuel cells to provide a constant power output. ABSTRACT Seasonal energy storage as compressed hydrogen offers a potential solution to balance the power grid as intermittent renewable energy sources are ...
Jure Voglar, Blaž Likozar
wiley   +1 more source