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[HTML][HTML] Optimization, validation and analyses of a hybrid PV-battery-diesel power system using enhanced electromagnetic field optimization algorithm and ε …
This study introduces and assesses a hybrid renewable energy system tailored for a
practical, off-grid location. The integrated power system comprises a diesel generator …
practical, off-grid location. The integrated power system comprises a diesel generator …
Novel nonlinear fractional order Parkinson's disease model for brain electrical activity rhythms: Intelligent adaptive Bayesian networks
In this study, a novel investigation in develo** intelligent adaptive Bayesian networks
(IABN) is carried out to solve the fractional order Parkinson's disease model (FOPDM) …
(IABN) is carried out to solve the fractional order Parkinson's disease model (FOPDM) …
Firefly optimization heuristics for sustainable estimation in power system harmonics
The sustainable power development requires the study of power quality while taking into
account of electrical equipment is an important aspect because it highly compromises the …
account of electrical equipment is an important aspect because it highly compromises the …
Knacks of marine predator heuristics for distributed energy source-based power systems harmonics estimation
The power system incorporates renewable energy resources into the main utility grid, which
possesses low or no inertia, and these systems generate harmonics due to the utilization of …
possesses low or no inertia, and these systems generate harmonics due to the utilization of …
Fractional order swarming intelligence for multi-objective load dispatch with photovoltaic integration
In this research work, the concept of fractional calculus is integrated inside the mathematical
model of the canonical particle swarm optimization (ie, FPSO) to enhance its optimization …
model of the canonical particle swarm optimization (ie, FPSO) to enhance its optimization …
[HTML][HTML] Design of aquila optimization heuristic for identification of control autoregressive systems
Swarm intelligence-based metaheuristic algorithms have attracted the attention of the
research community and have been exploited for effectively solving different optimization …
research community and have been exploited for effectively solving different optimization …
Enhanced fractional adaptive processing paradigm for power signal estimation
Fractional calculus tools have been exploited to effectively model variety of engineering,
physics and applied sciences problems. The concept of fractional derivative has been …
physics and applied sciences problems. The concept of fractional derivative has been …
A novel combined intelligent algorithm prediction model for the tunnel surface settlement
Y Wang, F Dai, R Jia, R Wang, H Sharifi, Z Wang - Scientific Reports, 2023 - nature.com
To ensure the safety and stability of the shield tunnel construction process, the ground
settlement induced by the shield construction needs to be effectively predicted. In this paper …
settlement induced by the shield construction needs to be effectively predicted. In this paper …
Nonlinear chaotic Lorenz-Lü-Chen fractional order dynamics: A novel machine learning expedition with deep autoregressive exogenous neural networks
This exhaustive study entails fractional processing of the unified chaotic Lorenz-Lü-Chen
attractors using machine learning expedition with Levenberg-Marquardt optimized deep …
attractors using machine learning expedition with Levenberg-Marquardt optimized deep …
[HTML][HTML] Novel fractional swarming with key term separation for input nonlinear control autoregressive systems
In recent decades, fractional order calculus has become an important mathematical tool for
effectively solving complex problems through better modeling with the introduction of …
effectively solving complex problems through better modeling with the introduction of …