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DOI: 10.11591/ijeecs.v32.i3.pp1557-1568 Corpus ID: 265109439 Intelligent photovoltaic system to maximize the capture of solar energy @article{OvallePaulino2023IntelligentPS, title={Intelligent photovoltaic system to maximize the capture of solar energy}, author={Christian Ovalle Paulino and Luis Rojas …
Intelligent photovoltaic system to maximize the capture of solar …
DOI: 10.11591/ijeecs.v32.i3.pp1557-1568 Corpus ID: 265109439 Intelligent photovoltaic system to maximize the capture of solar energy @article{OvallePaulino2023IntelligentPS, title={Intelligent photovoltaic system to maximize the capture of solar energy}, author={Christian Ovalle Paulino and Luis Rojas …
Solar PV power generation forecast using a hybrid intelligent …
Solar PV power generation forecast using a hybrid intelligent approach. Abstract: A significant role of a smart grid is to substantially increase the penetration of …
FUTURE OF SOLAR PHOTOVOLTAIC
IRENA promotes the widespread adoption and sustainable use of all forms of renewable energy, including bioenergy, geothermal, hydropower, ocean, solar and wind energy, in …
Energies | Free Full-Text | A Review of the Sustainable …
Solar photovoltaic tracking technology is an effective solution to this problem. This article delves into the sustainable development of solar photovoltaic …
Intelligent Cloud-Based Monitoring and Control Digital Twin for Photovoltaic …
A main challenge in the scope of integrating higher shares of photovoltaic (PV) systems is to ensure optimal operations. This can be achieved through next-generation monitoring with automatic data-driven functionalities. This work aims to address this fundamental challenge by presenting the stage of implementation of an advanced cloud-based monitoring …
Intelligent solar photovoltaic power forecasting
The problem to be addressed is to accurately forecast solar energy production to effectively manage solar power variability by integrating a battery storage …
On the technologies empowering drones for intelligent monitoring of solar photovoltaic power plants …
Potential Benefits in Solar Industry Various benefits offered by the intelligent drone systems in photovoltaic power plants were given as follows: • Better operation and maintenance of the PV plant. • Time …
Research on control strategy of multi-source data fusion solar intelligent …
1 INTRODUCTION In recent decades, energy and environmental issues have attracted the attention of the world. In order to achieve the sustainable development of energy and environment, countries around the world …
MPPT Control of Solar Powered UAV Photovoltaic Power Supply Based on Intelligent …
Solar powered UAV mainly relies on solar energy for range, it uses photovoltaic cells to convert solar radiant energy into electric energy for the use of solar powered UAV energy system. In response to the issue of solar powered UAV photovo
Photovoltatronics: intelligent PV-based devices for energy and …
Photovoltatronics is a research field that combines intelligent PV and digital technologies ‡ aimed at maximizing the generation of electricity and its utilization, especially in the urban …
Modeling of intelligent controllers for solar photovoltaic system …
Citation: Khan M, Raza MA, Jumani TA, Mirsaeidi S, Ali A, Abbas G, Touti E and Alshahir A (2023) Modeling of intelligent controllers for solar photovoltaic system under varying irradiation conditions. Front. Energy Res. 11:1288486. doi: 10.3389/fenrg.2023.
Artificial Intelligence for Solar Photovoltaic Systems
This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems ...
On the technologies empowering drones for intelligent monitoring of solar photovoltaic …
Monitoring of solar photovoltaic power plants is an essential task that could enable efficient operation and maintenance. (a) Quadcopter drone for monitoring solar PV plant; (b) Tri-copter drone ...
A Comprehensive Review of Artificial Intelligence Applications in the Photovoltaic …
<p>Integrating artificial intelligence (AI) into photovoltaic (PV) systems has become a revolutionary approach to improving the efficiency, reliability, and predictability of solar power generation. In this paper, we explore the impact of AI technology on PV power generation systems and its applications from a global perspective. Central to the …
Photovoltaic Sunflower / PV Sunflower
The Photovoltaic Sunflower is the only intelligent all-in-one integrated solar tracker for energy generation and storage. It also offers 40% more energy efficiency than a traditional panel system. Technical Data PVS …
Advances in solar photovoltaic tracking systems: A review
In movement solar trackers, the solar photovoltaic modules can be controlled to follow the position of the sun for the entire year and the entire day. The fixed …
Solar Photovoltaic System Maintenance Strategies: A Review
Solar energy as a source of clean and renewable energy generation has gained traction over the years as an alternative to conventional fossil fuels. This is as a result of the search for permanent and effective solutions to the environmental issues such as environmental pollution, global warming and greenhouse gas emission affecting our …
Artificial Intelligence Techniques for the Photovoltaic System: A …
Artificial Intelligence Techniques for the Photovoltaic System
Energies | Free Full-Text | Solar Photovoltaic Tracking …
The use of solar energy can be encouraged in several ways, such as monitoring or subsidies, as well as through solar systems that follow the sun''s path—called tracking solar systems. The main goal …
An integrated intelligent decision support framework for the development of photovoltaic solar …
An emerging question for photovoltaic (PV) solar power development is how to ascertain the optimal choice from a finite set of available alternatives under numerous conflicting criteria as well as high levels of imprecise, vague, and uncertain information. For …
Applied Sciences | Free Full-Text | Design and Simulation of a Solar …
After installing a solar panel system, the orientation problem arises because of the sun''s position variation relative to a collection point throughout the day. It is, therefore, necessary to change the position of the photovoltaic panels to follow the sun and capture the maximum incident beam. This work describes our methodology for the …
FUTURE OF SOLAR PHOTOVOLTAIC
Future of Solar Photovoltaic: Deployment, investment, ...
A novel hybrid intelligent approach for solar photovoltaic power …
The power generation from photovoltaic plants depends on varying meteorological conditions. These meteorological conditions such as solar irradiance, temperature, and wind speed are nonlinear and stochastic, thus affecting the estimation of solar photovoltaic (PV) power. Accurate estimation of photovoltaic power is essential …
Intelligent Image Processing for Monitoring Solar Photovoltaic …
Despite the COVID-19 pandemic, the global photovoltaic (PV) market grew significantly again in 2021, further enhancing the vital role of solar power in the battle against global climate change. One of the main reasons for …
Energies | Free Full-Text | Solar Photovoltaic Tracking Systems for …
This paper presents a thorough review of state-of-the-art research and literature in the field of photovoltaic tracking systems for the production of electrical energy. A review of the literature is performed mainly for the field of solar photovoltaic tracking systems, which gives this paper the necessary foundation. Solar systems can …
Solar PV power generation forecast using a hybrid intelligent …
A significant role of a smart grid is to substantially increase the penetration of environmentally-friendly renewable energy sources, such as solar photovoltaic (PV) power. One of the major challenges associated with the integration of PV power into the grid is the intermittent and uncontrollable nature of PV power output. Therefore, developing a …
A computational intelligence approach for solar photovoltaic …
This article extends our previous conference article "Forecasting solar photovoltaic power generation: a real-world case study in Uruguay" (Sergio Nesmachnow and Risso, 2023), presented at VI Iberoamerican Congress on Smart Cities (ICSC-CITIES).New scientific ...
A Hybrid Intelligent Approach for Solar Photovoltaic Power …
The penetration of solar photovoltaic (PV) power in distributed generating system is increasing rapidly. The increased level of PV penetration causes various issues like grid stability, reliable power generation and power quality; therefore, it becomes utmost important to forecast the PV power using the meteorological …
Overview of Solar Photovoltaic MPPT Methods: A State of the Art on Conventional and Artificial Intelligence …
The rest of the paper is organized as follows. Section 2 discusses mathematical modelling and characteristics of the solar PV cell. Section 3 concentrates on various MPPT-controlling methods, including conventional and artificial intelligence methods. Section 4 compares various MPPT techniques and modern research, and possible future directions are …
Solar photovoltaic generation and electrical demand forecasting …
We first summarized individual and hybrid deep learning models for electrical demand prediction and solar photovoltaic power generation forecasting. In …
Solar photovoltaic generation and electrical demand forecasting …
We also implemented the deep learning models of our work on a Cameroon dataset for short term solar photovoltaic power generation forecasting and long term electrical demand forecasting. Finally, we compared the proposed deep learning models with those in the literature using accuracy coefficients such as RMSE, MSE, MAE, …
A Smart Solar Photovoltaic Remote Monitoring and Controlling
Nowadays peoples facing the problem of limitation of non-renewable energy sources, so to solve this problem the best solution is to use renewable energy sources like solar energy. Automation of the solar photovoltaic power generation is the aim of this research work. The Internet of Things platform is used to monitor and control the generation of the solar …
Intelligent photovoltaic monitoring based on solar irradiance big …
1. Introduction Solar energy, as one of the most important clean energy, has attracted more and more attentions from the society and industry. As a result, a large number of photovoltaic (PV) power stations have …
Robotics, Artificial Intelligence, and Drones in Solar Photovoltaic …
Safety 2024, 10, 32 4 of 21 In this work, we define safe autonomy in solar photovoltaic (PV) energy applications as the use of automated systems, including robots, artificial intelligence, and drones, in a way that ensures safe and reliable operations with minimal
An IoT-based intelligent smart energy monitoring system for solar …
This paper examines how to use IoT, a solar photovoltaic system being monitored, and shows the proposed monitoring system is a potentially viable option for smart remote and …
Advanced intelligent fault detection for solar panels: incorporation …
Fault detection is pivotal in ensuring optimum performance of photovoltaic systems. Faults can practically affect energy production and compromise overall system reliability. Responding to this challenge, convolution image processing automates visual inspection through digital imaging, allowing for the identification of defects from a sequence of …
Resource Assessment of a Floating Solar Photovoltaic (FSPV) System with Artificial Intelligence …
A. Mellit and S. Kalogirou, "Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future directions," Renewable and Sustainable Energy Reviews, vol. 143