The Role of Artificial Intelligence in Enhancing Energy Management in Microgrid Systems DOI Open Access

Mainaa Oudinga

Journal Dimensie Management and Public Sector, Journal Year: 2023, Volume and Issue: 4(4), P. 33 - 41

Published: Dec. 27, 2023

This look at investigates the effect of artificial intelligence (AI) on microgrid overall performance thru a quantitative evaluation strength performance, reliability, and real-time optimization metrics. Two hypothetical systems, System A B, are examined, revealing that AI-pushed power management in outcomes superior effects comparison to B. Descriptive facts exhibit reveals higher efficiency (85.2%), increased reliability indices, more advantageous actual-time adaptability, showcasing capacity advantages AI integration. These findings align with current literature, emphasizing transformative position optimizing decentralized energy structures. The indicates making an investment technologies for holds promise attaining sustainability resilience. Future research need consciousness empirical actual-global validate these findings.

Language: Английский

Thermal intelligence: exploring AI’s role in optimizing thermal systems – a review DOI
D. Madhesh,

Saritha Madhavan

Deleted Journal, Journal Year: 2024, Volume and Issue: 245(1)

Published: Sept. 14, 2024

Language: Английский

Citations

0

Precision engineering of surface defects of cerium oxide nanostructured fine particles for the multiplexed detection of electrolytes and glucose inside tissue models DOI
Antonio Ruiz-Gonzalez, Xun Cao, Yizhong Huang

et al.

Applied Materials Today, Journal Year: 2024, Volume and Issue: 41, P. 102435 - 102435

Published: Sept. 19, 2024

Language: Английский

Citations

0

Classroom lighting and increasing efficiency with an energy system consisting of different types of solar panels, batteries and the grid DOI
Abdil Karakan, Selami Kesler, Yüksel Oğuz

et al.

Journal of Innovative Engineering and Natural Science, Journal Year: 2024, Volume and Issue: 5(1), P. 206 - 224

Published: Nov. 10, 2024

In the study, three objectives were achieved. The first purpose; To ensure minimum energy consumption in lighting a classroom at Afyon Kocatepe University Dazkırı Vocational School. illumination levels of ten different points and outside environment measured. most ideal level for learning was set. For this purpose, algorithm design implementation carried out order to benefit from ambient as much possible. Second It is comparison production Monocrystalline, Polycrystalline Thin film solar panels location where work out. determine suitable panel type. final purpose: system consisting Polycrystalline, Thin-film panels, battery grid, best use produced ensured by providing flow control. Different algorithms have been used control flow. A card designed implement algorithms. With card, current, voltage, power each PV modules addition, also PIC18F4550 microcontroller provide USB connection computer on card. Thus, all data sent via port. An interface with C# evaluate instantly monitor data. interface, displayed saved Access database 10-second intervals. can be controlled manually interface. When records examined, 83% savings achieved done, optimal provided classroom. way, many effects that would hinder education, especially visual headaches, are prevented. effect training increased increasing comfort.

Language: Английский

Citations

0

A multilevel multiobjective coordination matching design technique for the main bearing assembly structure of a diesel engine DOI Creative Commons
Xin Zhao, Jianhua Shi, Ligang Wu

et al.

Energy Science & Engineering, Journal Year: 2023, Volume and Issue: 11(12), P. 4520 - 4541

Published: Oct. 17, 2023

Abstract The main bearing assembly structure is one of the most important load‐bearing structures a diesel engine. working loads this increases dramatically with increase power density engines, resulting in problem unsatisfactory reliability coordination design restricted space, while mechanisms for coordinated are still at blank stage. Aiming problem, multilevel multiobjective matching technique innovatively proposed paper. This characterized by evaluation system and its components based on improved analytic hierarchy process. finite element model mathematical established to realize joint technology optimization design. By carrying out verification experiments, strength coordination, deformation contact 13.91%, 14.96%, 2.63%, respectively, after design, mass remains almost constant meeting lightweight requirements. overall 11.10%, achieving goal structure. results show that can quantitatively characterize relationship multi‐reliability components, it feasible method. demonstrated modeling approach provide theoretical guidance complex structures.

Language: Английский

Citations

0

The Role of Artificial Intelligence in Enhancing Energy Management in Microgrid Systems DOI Open Access

Mainaa Oudinga

Journal Dimensie Management and Public Sector, Journal Year: 2023, Volume and Issue: 4(4), P. 33 - 41

Published: Dec. 27, 2023

This look at investigates the effect of artificial intelligence (AI) on microgrid overall performance thru a quantitative evaluation strength performance, reliability, and real-time optimization metrics. Two hypothetical systems, System A B, are examined, revealing that AI-pushed power management in outcomes superior effects comparison to B. Descriptive facts exhibit reveals higher efficiency (85.2%), increased reliability indices, more advantageous actual-time adaptability, showcasing capacity advantages AI integration. These findings align with current literature, emphasizing transformative position optimizing decentralized energy structures. The indicates making an investment technologies for holds promise attaining sustainability resilience. Future research need consciousness empirical actual-global validate these findings.

Language: Английский

Citations

0