[HTML][HTML] Deep Learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-art review
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 …
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
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 …
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
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 …
that have proven its capability in solving challenging engineering tasks. Owing to the non …
Chaotic self-adaptive sine cosine multi-objective optimization algorithm to solve microgrid optimal energy scheduling problems
Researchers are increasingly focusing on renewable energy due to its high reliability,
energy independence, efficiency, and environmental benefits. This paper introduces a novel …
energy independence, efficiency, and environmental benefits. This paper introduces a novel …
A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems
The reliable operation of power systems while integrating renewable energy systems
depends on Optimal Power Flow (OPF). Power systems meet the operational demands by …
depends on Optimal Power Flow (OPF). Power systems meet the operational demands by …
Assessing metaheuristic algorithms in determining dimensions of hybrid energy systems for isolated rural environments: Exploring renewable energy systems with …
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 …
crises and environmental challenges. Given Turkey's vast renewable energy potential, it can …
[HTML][HTML] Optimizing hybrid renewable energy based automated railway level crossing in Bangladesh: Techno-economic, emission and sensitivity analysis
The railway system in Bangladesh, particularly the level crossing system, needs significant
advancements, including a shift towards using renewable energy to power these crossings …
advancements, including a shift towards using renewable energy to power these crossings …
[HTML][HTML] Bi-level programming model of location and charging electric vehicle stations in distribution networks
Electric vehicles (EVs) are currently a focal point in distribution network research due to their
potential benefits. Integrating EVs into distribution networks can enhance voltage profile …
potential benefits. Integrating EVs into distribution networks can enhance voltage profile …
[HTML][HTML] Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies
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 …
different price elasticity of distinct load types. To evaluate the impacts of demand response …
[HTML][HTML] Utilizing supercritical water gasification for hydrogen production combined with a waste heat recovery system for domestic households
S Thanikodi, AA Sagade - Results in Engineering, 2024 - Elsevier
Hydrogen from food waste can provide sustainable energy. Food waste can be gasified into
clean, efficient hydrogen gas using cutting-edge techniques. This study is about the …
clean, efficient hydrogen gas using cutting-edge techniques. This study is about the …