Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
A critical survey of technologies of large offshore wind farm integration: Summary, advances, and perspectives
Offshore wind farms (OWFs) have received widespread attention for their abundant
unexploited wind energy potential and convenient locations conditions. They are rapidly …
unexploited wind energy potential and convenient locations conditions. They are rapidly …
Metaheuristic-based support vector regression for landslide displacement prediction: A comparative study
Recently, integrated machine learning (ML) metaheuristic algorithms, such as the artificial
bee colony (ABC) algorithm, genetic algorithm (GA), gray wolf optimization (GWO) algorithm …
bee colony (ABC) algorithm, genetic algorithm (GA), gray wolf optimization (GWO) algorithm …
PV arrays reconfiguration for partial shading mitigation: Recent advances, challenges and perspectives
B Yang, H Ye, J Wang, J Li, S Wu, Y Li, H Shu… - Energy Conversion and …, 2021 - Elsevier
An intractable but common problem in photovoltaic systems is that the power generated by
photovoltaic will reduce seriously due to partial shading. In order to solve this problem, the …
photovoltaic will reduce seriously due to partial shading. In order to solve this problem, the …
Photovoltaic model parameters identification using Northern Goshawk Optimization algorithm
The massive integration of photovoltaic (PV) systems into electric power grids creates a slew
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …
A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models
Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and
pollution-free solar energy. However, the parameter estimation of PV systems remains very …
pollution-free solar energy. However, the parameter estimation of PV systems remains very …
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
The optimal co-planning of the integrated energy system (IES) and machine learning (ML)
application on the multivariable prediction of IES parameters have mostly been carried out …
application on the multivariable prediction of IES parameters have mostly been carried out …
[HTML][HTML] Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective
Due to growing concerns regarding climate change and environmental protection, smart
power generation has become essential for the economical and safe operation of both …
power generation has become essential for the economical and safe operation of both …
Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition
B Yang, T Zhu, J Wang, H Shu, T Yu, X Zhang… - Journal of Cleaner …, 2020 - Elsevier
This paper is designed to undertake a comprehensive review on state-of-the-art maximum
power point tracking (MPPT) methods of photovoltaic (PV) systems under partial shading …
power point tracking (MPPT) methods of photovoltaic (PV) systems under partial shading …