To solve the shortcomings of the open-loop and closed-loop systems, we developed an intelligent system for driving the mechanism of an experimental solar photovoltaic tracker. With the
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In order to improve the utilization of solar energy, a solar intelligent tracking system based on light intensity perception was designed according to the maximum power tracking principle rstly,
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This research includes an automated two-axis intelligent solar tracking system that automatically positions PV panels to achieve optimum energy output from any part of world. Tracking
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Abstract Distributed photovoltaic (PV) power plants often lack solar irradiance monitoring devices, significantly hindering crucial functions such as power forecasting, fault diagnosis, and
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This paper discusses the design of an autonomous system for measuring the real technical potential of solar power, accounting for weather and climate impacts. A combined
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This data can be used to build intelligent load management and energy management algorithms. This Special Issue focuses on the transformative potential of the Internet of Things (IoT)
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AIoT-based solar energy monitoring and control systems depend heavily on sensor data for intelligent decision-making, yet environmental conditions and sensor limitations pose persistent
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The global demand for electrical energy continues to grow, and solar energy has emerged as one of the most efficient and sustainable methods of electricity generation. Traditional
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As a solution, an adaptive software sensor is introduced and integrated with a smart maximum power point tracking control strategy for real-time photovoltaic system optimization. The
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This study provides a paradigm for an artificial intelligence-driven hybrid solar power system, including optimized solar tracking with advanced technology, advanced photovoltaic (PV)
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