[HTML][HTML] Deep Learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-art review

M Jalal, IU Khalil, A ul Haq - Results in Engineering, 2024 - Elsevier
PV systems are prone to external environmental conditions that affect PV system operations.
Visual inspection of the impacts of faults on PV system is considered a better practice rather …

Optimization methods of distributed hybrid power systems with battery storage system: a systematic review

AM Barbosa, PR Junior, LCS Rocha… - Journal of Energy …, 2024 - Elsevier
The transition to sustainable energy matrices at a global level reinforces the importance of
investments in hybrid energy systems with battery storage to promote low-carbon energy …

A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations

F Daqaq, MH Hassan, S Kamel, AG Hussien - Scientific Reports, 2023 - nature.com
The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …

Assessing metaheuristic algorithms in determining dimensions of hybrid energy systems for isolated rural environments: Exploring renewable energy systems with …

AF Güven, OÖ Mengi - Journal of Cleaner Production, 2023 - Elsevier
Hydrogen presents a clean energy avenue capable of addressing the impending energy
crises and environmental challenges. Given Turkey's vast renewable energy potential, it can …

A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems

G Gurumoorthi, S Senthilkumar, G Karthikeyan… - Scientific Reports, 2024 - nature.com
The reliable operation of power systems while integrating renewable energy systems
depends on Optimal Power Flow (OPF). Power systems meet the operational demands by …

[HTML][HTML] Optimizing hybrid renewable energy based automated railway level crossing in Bangladesh: Techno-economic, emission and sensitivity analysis

ZU Islam, MSH Lipu, TF Karim, AM Fuad… - Energy Conversion and …, 2024 - Elsevier
The railway system in Bangladesh, particularly the level crossing system, needs significant
advancements, including a shift towards using renewable energy to power these crossings …

Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems

N Karthik, A Rajagopalan, M Bajaj, P Medhi… - Scientific Reports, 2024 - nature.com
Researchers are increasingly focusing on renewable energy due to its high reliability,
energy independence, efficiency, and environmental benefits. This paper introduces a novel …

[HTML][HTML] Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies

B Dey, G Sharma, PN Bokoro - Results in Engineering, 2024 - Elsevier
Demand response programmes are used in microgrid research without considering the
different price elasticity of distinct load types. To evaluate the impacts of demand response …

[HTML][HTML] Optimizing size and evaluating Techno-Enviro-Economic Feasibility of hybrid renewable energy to power RO/Well unit

FAA Ali - Results in Engineering, 2024 - Elsevier
The present investigation focuses on the Techno-Enviro-Economic assessment of a hybrid
renewable energy system employing Homer software to identify an optimal system to power …

Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management

AF Güven - Energy, 2024 - Elsevier
As electric vehicles (EVs) continue to rise in popularity, there has been an intensified focus
on the distribution of power within hybrid renewable energy systems. In this context, the …