Energize Sustainability: EnSAF for sustainability aware, software intensive energy management systems DOI Creative Commons

M.S. Anjana,

Patricia Lago, Aryadevi Remanidevi Devidas

et al.

Information and Software Technology, Journal Year: 2024, Volume and Issue: 178, P. 107607 - 107607

Published: Oct. 28, 2024

Language: Английский

Energy‐saving technologies and energy efficiency in the post‐COVID era DOI Creative Commons
Larisa Gorina, Еlena Коrneeva,

O.V. Kovaleva

et al.

Sustainable Development, Journal Year: 2024, Volume and Issue: 32(5), P. 5294 - 5310

Published: March 24, 2024

Abstract The COVID‐19 pandemic made people reevaluate their energy consumption and efficiency. It held up a mirror to humanity's opportunistic ruthless deployment of sources. As the city streets went empty international air traffic stopped altogether, witnessed significant drop in CO 2 emissions, realized dependence upon sources, became aware global climate change. In addition, with lockdowns home offices, demand for usual peak hours shifted offering new perspective consumption. delivered devastating blow human belief having constant everlasting supply that can be relied everything. All these attracted attention researchers focusing on efficiency during pandemic. result, vast body academic literature topic burgeoned past four years yielding many exciting perspectives viewpoints. Our paper conducts comprehensive review this employing bibliometric network analysis 12960 publications indexed Web Science database. demonstrates potential benefits challenges associated implementing energy‐saving technologies, altering behavior, novel ICT solutions post‐COVID world. it highlights importance measures examines technologies contribute sustainable resilient future. findings emphasize need robust policies, technological advancements, public engagement fostering mitigating environmental impacts post‐pandemic

Language: Английский

Citations

19

The Role of Blockchain and AI in Fortifying Cybersecurity for Healthcare Systems DOI Open Access

M. Husain Bathushaw,

S. Nagasundaram

International Journal of Computational and Experimental Science and Engineering, Journal Year: 2024, Volume and Issue: 10(4)

Published: Nov. 24, 2024

In a simulated healthcare setting, the algorithms were assessed based on organized threat insight data, inconsistency location executed with blockchain-enhanced access control, and machine learning-driven interruption detection. The test results depiction showed that all calculations feasible, an accuracy range of 0.88-0.94 lift defined between 0.75 1; knowledge values ranging from.86 to.92, F1 scores above.90 are displayed as follows: Above all, TIAA excelled in risk insights management; ADA exceeded expectations detecting inconsistencies; BACA used blockchain to fortify control; ML-IDS produced remarkable intrusion importance these addressing particular cybersecurity concerns industry is highlighted through comparative comparison similar studies. suggested relevant growing conversation about because they offer comprehensive strategy protect private health guarantee reliability assessment models, organizations against variety evolving cyberthreats.

Language: Английский

Citations

6

A comprehensive analysis and future prospects on battery energy storage systems for electric vehicle applications DOI
Sairaj Arandhakar, Jayaram Nakka, V.B Murali Krishna

et al.

Energy Sources Part A Recovery Utilization and Environmental Effects, Journal Year: 2024, Volume and Issue: 46(1), P. 13003 - 13030

Published: Sept. 18, 2024

Language: Английский

Citations

5

Deep neural network based distribution system state estimation using hyperparameter optimization DOI Creative Commons
Gergő Bendegúz Békési, Lilla Barancsuk, B. Hartmann

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 102908 - 102908

Published: Sept. 1, 2024

Language: Английский

Citations

5

Exact Mixed-Integer Nonlinear Programming Formulation for Conductor Size Selection in Balanced Distribution Networks: Single and Multi-Objective Analyses DOI Creative Commons
Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Óscar David Florez-Cediel

et al.

Electricity, Journal Year: 2025, Volume and Issue: 6(1), P. 14 - 14

Published: March 9, 2025

This paper addresses the optimal conductor selection (OCS) problem in radial distribution networks, aiming to minimize total costs associated with investment and energy losses while ensuring voltage regulation power balance as well observing thermal limits. The is formulated a mixed-integer nonlinear programming (MINLP) model solved using hybrid branch-and-bound (B&B), interior-point optimizer (IPO) approach within Julia-based JuMP framework. Numerical validations on 27-, 33-, 69-bus test feeders demonstrate cost-efficient configurations. A multi-objective analysis employed construct Pareto front, offering trade-offs between operating costs. impact of distributed resources (DERs) also assessed, showing cost reductions when said provide reactive support. results confirm that proposed MINLP outperforms conventional metaheuristics terms accuracy reliability.

Language: Английский

Citations

0

Power System Loss Reduction Strategy Considering Security Constraints Based on Improved Particle Swarm Algorithm and Coordinated Dispatch of Source–Grid–Load–Storage DOI Open Access

Shuoqin Zhang,

Jiongcheng Yan, P. P. Xie

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(3), P. 831 - 831

Published: March 12, 2025

Coordinating various controllable distributed resources to reduce network losses is crucial the secure and economical operation of modern power systems. This paper proposes a bi-level optimization model for system loss reduction based on “source-grid-load-storage” coordinated optimization. The upper level aims minimize total annual planning cost system, determining location capacity photovoltaic systems, energy storage devices, electric vehicle charging stations. lower load curve smoothness node voltage deviation distribution network, optimizing intraday strategies. For this complex problem, designs particle swarm (PSO) algorithm with adaptive weights improved evolutionary simulation results case studies demonstrate that proposed method has significant effects in networks scales complexities. performance comparison show outperforms traditional algorithms terms solution quality computational efficiency, providing an effective “source-grid-load-storage”.

Language: Английский

Citations

0

Research on Cross-Circuitry Fault Identification Method for AC/DC Transmission System Based on Blind Signal Separation Algorithm DOI Creative Commons
Yan Tao, Xiangping Kong,

Chenqing Wang

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1395 - 1395

Published: March 12, 2025

The AC/DC transmission system is an important component of the power system, and cross-circuitry Fault diagnosis plays role in ensuring normal operation equipment personal safety. traditional detection methods have characteristics complex processes low fault line identification rates. Aiming at such problems, this paper proposes a new method based on blind signal separation algorithm. Firstly, takes typical scenario as example to construct topology diagram system. Then, electrical signals AC DC are collected, collected extracted by aiming problem quantities positive negative poles rectifier side inverter analyzed wavelet determine fault. At same time, three types Fault, ground fault, intact set up, A, B, C side, three-phase wavelet. Finally, judgment interval basis judgment. After experimental verification, relative error model 1.4683%. crossline source algorithm proposed can accurately identify location type. It also provides theoretical support for maintenance personnel maintain equipment.

Language: Английский

Citations

0

Effect of NaF Concentration on Crystal Structure, Morphology, Optical Properties, and Performance of CIGS Solar Cells DOI Open Access

Anissa Chairani Alfin Nadhira,

Abdus Salam,

Maghfirah Yusriyadibah Fuad

et al.

Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 2974(1), P. 012022 - 012022

Published: March 1, 2025

Abstract Technological advances lead to increased use of electrical energy resources, therefore it is necessary find alternative, environmentally friendly sources. One these alternative resources CIGS solar cells, cells with the addition NaF concentration (2%, 4%, and 8%) base elements are expected improve characteristics cells. The electrodeposition method used in this cell synthesis process. In study, can likely structural, morphological, performance properties better existence alkali reduce fossil-based sources carbon emissions effects triggering global warming. So work aims investigate impact on structural morphological by fabricated CIGS/NaF through attaching solution ITO substrate using method. XRD confirmed that was successfully grown higher peaks as increased. SEM results show porosity tends increase increasing concentration. addition, UV-Vis characterization direct band gap decrease concentration, which 2.23-2.19 eV, while absorbance FTIR region 4000 cm −1 –500 . Based research, CIGS’s improving increases. greater NaF, conductivity value vice versa, smaller NaF.

Language: Английский

Citations

0

Technological Innovations in Renewable Energy: A Review DOI
Raju Kumar Swami, Raj Kumar,

Akshay Sharma

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 207 - 219

Published: Jan. 1, 2025

Language: Английский

Citations

0

Distributed transmission-distribution coordinated voltage control: A bidirectional Anderson acceleration based master slave splitting approach DOI
Zifeng Lü, Zhongkai Yi, Ying Xu

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 167, P. 110625 - 110625

Published: March 28, 2025

Language: Английский

Citations

0