The core objective is to improve the efficiency, responsiveness, and scalability of solar power generation using a unified multi-layer architecture. The system comprises a CNN-LSTM model for accurate solar irradiance forecasting, reinforcement learning for real-time dual-axis tracking, and Edge AI for low-latency control decisions.
These results validate that the AI control module operates efficiently with low power consumption, real-time data processing, and high tracking accuracy, thereby enhancing the adaptability of the solar panels. This is illustrated in Fig. 7.
The fixed-tilt PV system registered a maximum peak temperature of 68.4 degrees Celsius with strong performance inefficiency owing to high thermal build-up. Marginal improvement was noted with MPPT-based tracking, with a maximum temperature of 65.1 degrees Celsius.
This study introduces a hybrid AI system that combines CNN-LSTM prediction with RL-based tracking and Edge AI for real-time decision-making, building an intelligent, self-adaptive solar tracking system that can dynamically optimize solar panel orientation 30.
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A technology for solar hot water and automatic water replenishment, applied in the field of solar hot water systems, can solve problems such as …
The control system kept the PV panel at constant temperature and varied the current load. The choice of temperature values was based on the reference number of the PV …
The utility model discloses an intelligent constant temperature solar hot water system. In an intelligent constant temperature control unit, a sensor head of a first temperature sensor unit is …
Intelligent solar constant-temperature ecological curtain wall system and temperature control method Al technical title is built by PatSnap Al team. It summarizes the …
Solar controller SR501, micro-computer automatic controller for solar water heater, It is used to control integrated un-pressurized solar thermal system. It is developed using the …
alidity of the system design is verified through experiments. It can be seen from the experimental Key words: intelligent building, embedded, constant temperature control, system …
Currently, IoT rules many unmanned applications to improve supervision and productivity. The proposed work concentrates on the need for a cooling system for solar …
In this paper, we apply MARS to the design of an intelligent temperature control system (ITCS), including its modeling, simulation, verification, and code generation. …
This study provides a paradigm for an artificial intelligence-driven hybrid solar power system, including optimized solar tracking with …
This study presents the design and implementation of a sustainable temperature monitoring system powered by solar energy and supercapacitors. The system incorporates a …
This study provides a paradigm for an artificial intelligence-driven hybrid solar power system, including optimized solar tracking with advanced technology, advanced …
A technology for solar hot water and automatic water replenishment, applied in the field of solar hot water systems, can solve problems such as incompatibility and low water temperature, and …
Solar controller SR501, micro-computer automatic controller for solar water heater, It is used to control integrated un-pressurized solar …
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