Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches
Solar energy is increasingly attracting the attention of industry and academia. This
heightened focus is mainly motivated by the challenge to contribute to fossil fuels' alternative …
heightened focus is mainly motivated by the challenge to contribute to fossil fuels' alternative …
Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm
A photovoltaic (PV) module or a solar cell is electrically characterized by a circuit model with
specific parameters. For a PV system simulation and operation, the solar cell parameters …
specific parameters. For a PV system simulation and operation, the solar cell parameters …
A battery digital twin from laboratory data using wavelet analysis and neural networks
Lithium-ion (Li-ion) batteries are the preferred choice for energy storage applications. Li-ion
performances degrade with time and usage, leading to a decreased total charge capacity …
performances degrade with time and usage, leading to a decreased total charge capacity …
Wind-driven optimization technique for estimation of solar photovoltaic parameters
In order to increase the efficiency of the solar photovoltaic (PV) system, accurate electrical
modeling of the system under different environmental conditions is necessary. The double …
modeling of the system under different environmental conditions is necessary. The double …
A new parameter estimation method of solar photovoltaic
The accuracy in electrical model parameters of solar photovoltaic (PV), such as photon
current, the diode dark saturation current, series resistance, shunt resistance, and diode …
current, the diode dark saturation current, series resistance, shunt resistance, and diode …
A reliable approach for modeling the photovoltaic system under partial shading conditions using three diode model and hybrid marine predators-slime mould …
In this article, the triple diode model (TDM) is studied for modeling the Canadian-Solar-
CS6P-240P poly-crystalline PV module, Kyocera Solar KC200GT multi-crystalline PV …
CS6P-240P poly-crystalline PV module, Kyocera Solar KC200GT multi-crystalline PV …
An adaptive wind-driven optimization algorithm for extracting the parameters of a single-diode PV cell model
This paper presents a new methodology to extract the unknown parameters of a single-
diode photovoltaic (PV) cell model. The first contribution of this paper is the development …
diode photovoltaic (PV) cell model. The first contribution of this paper is the development …
A new grey wolf optimization-based parameter estimation technique of solar photovoltaic
Firstly, this paper develops a non-linear least square objective function in terms of three
unknown parameters of solar photovoltaic, namely series resistance, shunt resistance, and …
unknown parameters of solar photovoltaic, namely series resistance, shunt resistance, and …
Marine predators algorithm for parameters estimation of photovoltaic modules considering various weather conditions
The accurate models of photovoltaic systems are the core of solar energy studies that are
describing the system performance and behavior under different operating conditions. The …
describing the system performance and behavior under different operating conditions. The …