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Jun 26, 2023 · Received 25 October 2019 Solar energy and climate control systems are utilized for producing the highest productivity and con- Received in revised form version rate poultry
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Jan 17, 2024 · This study unveils a hybrid solar PV/wind system, an elegantly integrated framework that marries the advantages of solar and wind energy to
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Jan 21, 2025 · As demand for renewable energy rises, innovations in smart artificial intelligence (AI), the Internet of Things (IoT), and big data analytics
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Jul 20, 2024 · Hybrid energy storage systems (HESS), which combine multiple energy storage devices (ESDs), present a promising solution by leveraging
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Apr 11, 2025 · The increasing integration of distributed energy resources has significantly impacted power quality in modern grids. This article addresses the challenge by introducing an
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May 25, 2024 · This focuses on Study of Smart-grid Inverter for Renewable Energy. This research is a green technology using solar energy to generated electricity for smart-gri
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As the global demand for renewable energy grows, photovoltaic systems (PVSs) have become indispensable in transitioning to sustainable power solutions. The design and control of
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Oct 6, 2024 · Today''s increasingly complex energy systems require innovative approaches to integrate and optimize different energy sources and
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Dec 18, 2020 · Complex control structures are required for the operation of photovoltaic electrical energy systems. In this paper, a general review of the
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Nov 16, 2024 · Hybrid Solar Energy Systems, Energy Management Optimization, Reinforcement Learning (RL), Fuzzy Logic Control, Smart Grid Integration. This paper presents a
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Jun 9, 2025 · This Review discusses the integration of solar electric vehicles into energy systems, highlighting their potential to enhance energy efficiency, reduce emissions and support
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May 11, 2025 · The average American household spends over $2,000 yearly on energy bills – and that number keeps climbing. That''s why smart homeowners
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Jul 1, 2025 · Intelligent energy management systems play a pivotal role in optimizing energy distribution, particularly in scenarios with high grid dependency. Cloud computing
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Oct 17, 2019 · Efficiency and reliability have been essential requirements for energy generation in smart cities. This study presents the design and
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Mar 1, 2025 · This study focuses on enhancing power quality in on-grid photovoltaic (PV) schemes through an innovative dynamic voltage restorer (DVR) that integrates two control
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Feb 23, 2024 · The photovoltaic effect has permanently transformed the landscape of renewable sources by making it possible to convert solar energy into useable power. This concept is
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Dec 23, 2024 · This research introduces a novel approach for enhancing thermal control in photovoltaic (PV) energy systems by leveraging deep regression analysis on thermal imaging
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Mar 1, 2024 · This study presents a novel approach for integrating solar PV systems with high input performance through adaptive neuro-fuzzy inference systems (ANFIS). A fuzzy neural
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Jul 8, 2025 · Boost converters are used to maximize the power output of the photovoltaic system and power the load. The maximum power point tracking (MPPT) strategy based on the perturb
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Nov 20, 2023 · Automatic generation control of a solar thermal and dish-stirling solar thermal system integrated multi-area system incorporating accurate HVDC link model using crow
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Jan 16, 2025 · This paper presents a novel framework for enhancing grid integration in hybrid photovoltaic (PV)-wind systems using an Adaptive Neuro-Fuzzy Inference System (ANFIS)
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Feb 8, 2025 · Also, the fractional-order proportional-integral regulator and the integral sliding mode control approach are combined to control the battery-based storage system, and the
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The demand for efficient renewable energy solutions has spurred the development of advanced maximum power point tracking (MPPT) algorithms
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Jun 7, 2024 · Develop an advanced high-gain DC-DC converter that effectively manages power fluctuations due to varying solar irradiance and load
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Jul 8, 2025 · PV energy systems ofer a clean alternative to fossil fuels. Innovations such as perovskite solar cells and bifacial solar panels, which enhance eficiency and lower costs, are
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Nov 1, 2024 · This study explores the optimization of hybrid renewable energy systems in smart grids, incorporating configurations involving multiple sources such as solar photovoltaic, wind,
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Jan 1, 2012 · This work deals with the main control problems found in solar power systems and the solutions proposed in literature. The paper first describes the main solar power
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Oct 30, 2024 · This review aims to show how computational and automation can be applied to optimize the solar power system toward net-zero emissions in 2050. It emphasizes the power
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Jul 15, 2024 · The increasing need for reducing carbon emissions and promoting smart, energy-saving buildings is fueling the rising trend of sophisticated control sy
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Jul 18, 2024 · Real-world applications of energy management controllers in sectors such as smart grids, buildings, industrial processes, and transportation systems are examined. Case studies
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Apr 24, 2025 · Download Citation | Shadow‐Thermoelectric System for Enhancing Solar Energy Harvesting and Touchless Human‐Machine Interface
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Dec 1, 2023 · The review comprehensively examines hybrid renewable energy systems that combine solar and wind energy technologies, focusing on their current challenges,
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Mar 21, 2025 · This paper focuses on developing power management strategies for hybrid energy storage systems (HESSs) combining batteries and
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Jul 11, 2019 · Preface This report focuses on emerging technological and regulatory considerations for using solar and wind generators to provide essential reliability services
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Dec 1, 2024 · Solar tracking systems (STS) are essential to enhancing solar energy harvesting efficiency. This study investigates the effectiveness of STS for improving the energy output of
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This study addresses the integration of solar energy with water resources, particularly for India''s smart irrigation systems. The performance of the BLDC motor with a centrifugal pump,
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Jan 1, 2025 · The ANN model predicted PV system energy generation using temperature, solar irradiation, and PV energy data. The dataset included 116,556 winter and 162,420 summer
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Oct 19, 2024 · The requirements for improving the solar energy grid are underpinned by rising temperatures on the planet and the need for meaningful action on climate change.
Contact UsThe energy management of PV systems is an important issue when studying renewable energy. One of the methods to control this process is by using an ANN. ANN-based controllers are gaining popularity due to their ability to adapt to different scenarios and enhance energy conversion efficiency.
The utilization of artificial intelligence (AI) is crucial for improving the energy generation of PV systems under various climatic circumstances, as conventional controllers do not effectively optimize the energy output of solar systems. Nevertheless, the performance of PV systems can be influenced by fluctuations in meteorological conditions.
PV generations employs smart energy management systems The global transition away from fossil fuels has led to an increasing dependence on renewable energy sources to meet rising energy demands in a sustainable and cost-effective manner [31, 32].
Termed Intelligent Solar Energy Management Technology (ISEMS), this system comprises three key components: Forecast-Based Intelligent Energy Management System: Utilizes predictive analytics to enhance energy availability forecasting, reducing uncertainty in solar power generation.
Fig. 11 provides a schematic representation of the suggested artificial intelligence control of energy management PV systems. A photovoltaic (PV) generator, a battery management system (BMS), a boost converter, and an alternating current (AC) load fitted with a neurofuzzy control system make up the primary elements of the power system.
1. Introduction The integration of the Internet of Things (IoT) has significantly revolutionized modern energy management systems, particularly in photovoltaic (PV) power generation. This study explores IoT-driven intelligent energy management systems designed to monitor, control, and optimize PV power utilization.