Results 11 to 20 of about 1,138,526 (299)

Analytical Modeling of Current-Voltage Photovoltaic Performance: An Easy Approach to Solar Panel Behavior

Applied Sciences, 2021
In this paper, we propose very simple analytical methodologies for modeling the behavior of photovoltaic (solar cells/panels) using a one-diode/two-resistor (1-D/2-R) equivalent circuit.
José Miguel Álvarez, Daniel Alfonso-Corcuera, Elena Roibás-Millán, Javier Cubas, Juan Cubero-Estalrrich, Alejandro Gonzalez-Estrada, Rocío Jado-Puente, Marlon Sanabria-Pinzón, Santiago Pindado   +8 more
doaj   +1 more source

An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2021
In the field of renewable energy, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction of solar PV cell is a highly non-linear complex optimization problem.
Abhishek Sharma, Abhinav Sharma, Averbukh Moshe, Nikhil Raj, Rupendra Kumar Pachauri   +4 more
doaj   +1 more source

Scalable Small Signal and Noise Modeling of InP HEMT for THz Application

IEEE Journal of the Electron Devices Society, 2023
Scalable small signal and noise modeling for 90nm InP high electron mobility transistor (HEMT) is proposed in this paper. Analytical expressions for the noise parameters of the intrinsic part are derived from an accurate small signal and noise equivalent
Ao Zhang, Jianjun Gao
doaj   +1 more source

On the Modeling of Microstrip Lines Loaded With Dumbbell Defect-Ground-Structure (DB-DGS) and Folded DB-DGS Resonators

IEEE Access, 2021
This paper presents a lumped-element equivalent circuit model of microstrip lines loaded with dumbbell defect-ground-structure (DB-DGS) resonators, etched in the ground plane.
Lijuan Su, Jonathan Munoz-Enano, Paris Velez, Jesus Martel, Francisco Medina, Ferran Martin   +5 more
doaj   +1 more source

PV Cell Parameter Extraction Using Data Prediction–Based Meta-Heuristic Algorithm via Extreme Learning Machine

Frontiers in Energy Research, 2021
To reliably evaluate the practical performance and to undertake optimal control of PV systems, a precise PV cell parameter extraction–based accurate modeling of PV cells is extremely crucial.
Bing Li, Huang Chen, Tian Tan
doaj   +1 more source

Parameter Extraction of Photovoltaic Models Using a Dynamic Self-Adaptive and Mutual- Comparison Teaching-Learning-Based Optimization

IEEE Access, 2021
Parameter extraction of solar cell models plays an important role in the simulation, evaluation, control, and optimization of the photovoltaic (PV) system.
Lei Li, Guojiang Xiong, Xufeng Yuan, Jing Zhang, Jinlong Chen   +4 more
doaj   +1 more source

Optimization of extraction conditions of antioxidant activity from zingiber zerumbet oleoresin [PDF]

, 2011
The health promoting capacity of natural antioxidant from phytochemicals has increase attention from researchers and public. However, processing is affecting the activity and the bioavailability of bioactive compounds.
Abdul Aziz, Ramlan, Hasham Hisam, Rosnani, Mohamed Noor, Norhayati, Roslan, Mohd. Najib, Sarmidi, Mohamad Roji   +4 more
core   +1 more source

Extraction of Forestry Parameters Based on Multi-Platform LiDAR

IEEE Access, 2022
Quick and accurate acquisition of tree height (TH) and diameter at breast height (DBH) plays a very important role in forestry surveys. These parameters can be collected rapidly and accurately with LiDAR.
Jianchang Chen, Yiming Chen, Zhengjun Liu   +2 more
doaj   +1 more source

Experimental and modeling studies on microwave-assisted extraction of mangiferin from Curcuma amada [PDF]

, 2013
Mangiferin, a bioactive compound having potent nutraceutical, strong antioxidant and pharmacological significance has been extracted using microwave-assisted extraction (MAE) technique from Curcuma amada, commonly known as mango ginger.
Chaudhuri, Surabhi, Constales, Denis, Dutta, Abhishek, Dutta, Debjani, Kullu, Jeke   +4 more
core   +1 more source

Extraction of Computer-Inherent Characteristics Based on Time Drift and CPU Core Temperature

IEEE Access, 2020
The number of computers that provide information services via the Internet is constantly increasing, particularly for IoT applications. Compared to the servers in managed data centers, IoT computers have an increased risk of contamination from ...
Naoto Hoshikawa, Ryo Namiki, Katsumi Hirata, Atsushi Shiraki, Tomoyoshi Ito   +4 more
doaj   +1 more source