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Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity
(MDPI, 2021-07-09)
In this work, a maximum power point tracking (MPPT) system for its application to a new piezoelectric wind energy harvester (PWEH) has been designed and implemented. The motivation for such MPPT unit comes from the power ...
Temperature based maximum power point tracking for photovoltaic modules
(Nature, 2020-07-27)
In this article authors propose a temperature based Maximum Power Point Tracking algorithm (MPPT). Authors show that there is an optimal current vs maximum power curve that depends on photovoltaic (PV) module temperature. ...
A Battery Management System with EIS Monitoring of Life Expectancy for Lead–Acid Batteries
(MDPI, 2021-05-21)
Abstract
This work presents a battery management system for lead–acid batteries that integrates a battery-block (12 V) sensor that allows the online monitoring of a cell’s temperature, voltage, and impedance spectra. The ...
Review of Aerial Transportation of Suspended-Cable Payloads with Quadrotors
(MDPI, 2024-01-25)
Payload transportation and manipulation by rotorcraft drones are receiving a lot of attention from the military, industrial and logistics research areas. The interactions between the UAV and the payload, plus the means of ...
PV Cells and Modules Parameter Estimation Using Coati Optimization Algorithm
(MDPI, 2024-04-03)
In recent times, there have been notable advancements in solar energy and other renewable sources, underscoring their vital contribution to environmental conservation. Solar cells play a crucial role in converting sunlight ...
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
(MDPI, 2024-03-07)
Background: The declaration of the COVID-19 pandemic triggered global efforts to control and manage the virus impact. Scientists and researchers have been strongly involved in developing effective strategies that can help ...
Electrochemical Impedance Spectrum Equivalent Circuit Parameter Identification Using a Deep Learning Technique
(MDPI, 2023-12-18)
Physical models are suitable for the development and optimization of materials and cell designs, whereas models based on experimental data and electrical equivalent circuits (EECs) are suitable for the development of ...
A Machine-Learning Approach for Prognosis of Oscillating Water Column Wave Generators
(IEEE, 2023-11-01)
Wave excitations cause structural vibrations on the Oscillating Water Columns (OWC) lowering the power generated and reducing the life expectancy. The problem of generator deterioration has been considered for the Mutriku ...
Enhancing Stability and Performance of Hybrid Offshore Wind Platforms: A Novel Fuzzy Logic Control Approach with Computational Machine Learning
(IEEE, 2024-01-01)
Harnessing the power of wind and waves for renewable energy production has become vital in the quest for sustainable electricity generation. The fusion of Floating Offshore Wind Turbines (FOWTs) and Oscillating Water Columns ...
A Machine-Learning Approach for the Development of a FOWT Model Integrated with Four OWCs
(IEEE, 2023-02-20)
The wind-wave excitations cause structural vibrations on the Floating Offshore Wind Turbines (FOWT) pressing the power generation efficiency and reducing the life expectancy. In particular, tower-top displacement and ...