GEODATA IN SCIENCE – A REVIEW OF SELECTED SCIENTIFIC FIELDS DOI Creative Commons
Michał Apollo, Mateusz Jakubiak, Sorin Nistor

et al.

Acta Scientiarum Polonorum Formatio Circumiectus, Journal Year: 2023, Volume and Issue: 22(2), P. 17 - 40

Published: July 7, 2023

Aim of the study: Today, completely new forms geo-information systems are becoming increasingly popular. New technological possibilities allow these to be adapted requirements and needs societies. This paper is an extensive literature review use geodata in various scientific fields, STEM (science, technology, engineering, mathematics) disciplines. However, as there no universal agreement which disciplines included STEM, authors also related fields such geography or transport. Material methods: Already a preliminary analysis Web Science Core Collection database has shown that used very widely, every discipline analysed (with varying degrees sophistication). The main objective provide comprehensive usage five areas: bathymetric measurements, satellite geodata, aerial retrieved levelling networks, GIS data. Results conclusions: results showed increasing availability data can contribute better understanding management our planet. Geodata tool overly broad general, it might science.

Language: Английский

Multi-energy complementary power systems based on solar energy: A review DOI
Gang Wang, Zhen Zhang, Jianqing Lin

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 199, P. 114464 - 114464

Published: May 9, 2024

Language: Английский

Citations

48

Sustainable urban energy solutions: Forecasting energy production for hybrid solar-wind systems DOI
Ali Javaid, Muhammad Sajid, Emad Uddin

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 302, P. 118120 - 118120

Published: Jan. 31, 2024

Language: Английский

Citations

26

A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system DOI Creative Commons

AL-Wesabi Ibrahim,

Jiazhu Xu, Imad Aboudrar

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 25, 2025

This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics motion cycles of entire horses. Next, linear active disturbance rejection control (LADRC) was applied to monitor HHOA's reference voltage output. LADRC, known managing uncertainties disturbances, improves anti-interference capacity point tracking (MPPT) speeds up system's response rate. Then, in comparison traditional (perturb & observe; P&O) metaheuristic algorithms (conventional particle swarm optimization; CPSO, grasshopper GHO, deterministic PSO; DPSO) through DSEC, simulations results demonstrate combination HHOA-LADRC can successfully track global peak (GMP) with less fluctuations quicker convergence time. Finally, experimental investigation proposed accomplished NI PXIE-1071 Hardware-In-Loop (HIL) prototype. output findings show effectiveness provided may approach value higher than 99%, showed rate converging oscillations detection mechanism.

Language: Английский

Citations

2

Spatial modelling the location choice of large-scale solar photovoltaic power plants: Application of interpretable machine learning techniques and the national inventory DOI
Yanwei Sun,

Danfeng Zhu,

Ying Li

et al.

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 289, P. 117198 - 117198

Published: May 22, 2023

Language: Английский

Citations

38

Evaluation of the Routing Algorithms for NoC-Based MPSoC: A Fuzzy Multi-Criteria Decision-Making Approach DOI Creative Commons
Yousif Raad Muhsen, Nor Azura Husin, Maslina Zolkepli

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 102806 - 102827

Published: Jan. 1, 2023

Context: Routing algorithms play a crucial role in the performance of Network-on-Chip (NoC)-based Multi-Processor Systems-on-Chip (MPSoC). However, selection appropriate and effective routing poses challenge for designers, given multitude assessment criteria, data fluctuations, varying criteria importance. Objective: In this study, we propose comprehensive various algorithms, aiming to identify most suitable algorithm that satisfies designers' system-level requirements criteria. Method: This research integrates Fuzzy-Weighted Zero-Inconsistency (FWZIC) method Fuzzy Decision by Opinion Score Method (FDOSM). The utilisation Z-Cloud Rough Numbers (ZCRNs) environment addresses two types uncertainty, providing framework managing ambiguity achieving higher level freedom. Our methodology consists main phases. Firstly, decision matrix is constructed based on algorithms. Secondly, employ ZCR-FWZIC derive weights each criterion subsequently ZCR-FDOSM-BM approach rank Result: analysis reveals Adaptive Dimensional Bubble (ADBR), Message-based Congestion-Aware (MCAR), Dynamic Algorithm (DyAd) are ranked as top three respectively. Conclusion: presents essential implications designers system engineers involved NoC-based MPSoC, offering insights enhance decision-making processes facilitate an algorithm.

Language: Английский

Citations

35

A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning DOI
Md. Shadman Abid, Hasan Jamil Apon, Salman Hossain

et al.

Applied Energy, Journal Year: 2023, Volume and Issue: 353, P. 122029 - 122029

Published: Oct. 9, 2023

Language: Английский

Citations

29

A novel framework for wave power plant site selection and wave forecasting based on GIS, MCDM, and ANN methods: A case study in Hainan Island, Southern China DOI Open Access
Meng Shao, Zhixin Han, Jinwei Sun

et al.

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 299, P. 117816 - 117816

Published: Nov. 3, 2023

Language: Английский

Citations

25

Investigation of the importance of criteria in potential wind farm sites via machine learning algorithms DOI
Fatih Sarı, Mustafa Yalçın

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 435, P. 140575 - 140575

Published: Jan. 1, 2024

Language: Английский

Citations

12

Carbon emission reduction contribution analysis of electricity enterprises in urban green development: A quantum spherical fuzzy sets-based decision framework DOI
Puliang Du, Bo Zhou,

Miaoheng Yang

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 200, P. 123181 - 123181

Published: Jan. 3, 2024

Language: Английский

Citations

12

GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh DOI

Zarjes Kader,

Md Rabiul Islam, Md. Tareq Aziz

et al.

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(5)

Published: Aug. 29, 2024

Language: Английский

Citations

10