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Enhanced photovoltaic panel diagnostics through AI integration with

This paper introduces a diagnostic methodology for photovoltaic panels using I-V curves, enhanced by new techniques combining optimization and classification-based artificial

Optimizing photovoltaic integration in grid management via a deep

By leveraging AI-driven predictive technologies, the framework not only accounts for the inherent variability of solar energy but also extends the scope of energy system optimization to

Optimizing Electric Vehicle Charging Through an Artificial Intelligence

Artificial intelligence of vehicles (AIVs) is poised to revolutionize transportation by promoting low-carbon alternatives, such as electric vehicles (EVs). However, the deployment of fixed charging stations

Comprehensive study of the artificial intelligence applied in renewable

The current technological advances, research outcomes, and case studies in the domain of artificial intelligence implications for renewable energy systems are discussed, along with

Artificial Intelligence of Things for Solar Energy Monitoring

This paper provides a comprehensive survey of Artificial Intelligence of Things (AIoT) applications in solar energy, illustrating how IoT technologies enable real-time monitoring, system

Design of solar air conditioning system integrated with photovoltaic

Hence, it is deduced that the RVFLN-WWO algorithm succeeded in identifying the PV electric current, air-conditioned compartment temperature, and COP of the proposed SPVTEAC for

Artificial Intelligence-Based Smart Battery Management System for Solar

2.1 Proposed Approach In this study, a smart battery management system is proposed to control the chargedischarge cycle of the battery storage system of a solar microgrid

SPXAI: Solar Power Generation with Explainable AI Technology

It presented a solar PV power generation forecasting application using XAI tools, specifically the XGBoost algorithm and ELI5 XAI tool, for efficient, simple, and fast forecasting with detailed feature

Predicting solar distiller productivity using an AI Approach: Modified

Solar Stills (SSs) are an eco-friendly and efficient approach to generating drinking water from brackish or saline sources. In this paper, a novel model for predicting the productivity of

Numerical modeling and neural network optimization for advanced solar

This article proposes a numerical modeling framework from hybrid AI models, combining physics-informed neural networks and RL for real-time optimization of orientation in solar panels.

Towards artificial intelligence for solar charge controller: an

The rising global demand for power, allied with the compelling necessity to shift to sustainable energy sources, has heightened attention on renewable energy technologies, notably

Intelligent Adaptive Control Algorithms for Enhanced Solar

In order to overcome the abovementioned limitations, novel research studies are aimed at the intelligent and adaptive control of solar tracking systems. Meanwhile, their responsiveness and efficiency as

Artificial intelligence models development for profitability factor

Article Open access Published: 11 February 2025 Artificial intelligence models development for profitability factor prediction in concentrated solar power with dual backup systems

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