Artificial Intelligence for Energy Integration and Efficiency in Photovoltaic and Thermal Solar Systems
A special issue of Technologies (ISSN 2227-7080).
Deadline for manuscript submissions: 31 March 2026 | Viewed by 1352
Special Issue Editors
Interests: robotics; biomedical applications; instrumentation and measurement; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning techniques; renewable energy forecasting; energy sustainability; power generation systems; thermodynamics; solar power generation efficiency
Interests: EMG; EEG; machine learning; metaheuristics; signal and image processing
Special Issues, Collections and Topics in MDPI journals
2. Programa Académico de Ingeniería Mecatrónica, Universidad Politécnica de Chiapas, Carretera Tuxtla Gutiérrez—Portillo Zaragoza Km 21+500, Col. Las Brisas, Suchiapa C.P. 29150, Mexico
Interests: wind power
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to this Special Issue, focused on advances in artificial intelligence (AI) applied to the integration and energy efficiency of photovoltaic and thermal solar systems.
In the face of the growing global energy demand and the urgent need for sustainable solutions, the application of AI techniques in solar energy systems has emerged as a powerful tool to optimize performance, enhance energy management, and support smart decision-making. From machine learning algorithms that forecast solar irradiance and energy production to intelligent controllers that regulate thermal storage and photovoltaic conversion, AI is transforming the way we design, operate, and integrate solar technologies.
This Special Issue seeks to collate high-quality contributions that demonstrate the use of AI in enhancing the efficiency, reliability, and scalability of solar systems. Topics of interest include, but are not limited to, the following:
- Intelligent forecasting of solar irradiance and energy demand;
- AI-based optimization of PV and thermal system performance;
- Smart control systems for hybrid solar configurations;
- Predictive maintenance using AI for solar installations;
- Energy integration in smart grids with AI-enhanced coordination;
- Deep learning approaches for fault detection and diagnostics;
- Reinforcement learning for adaptive energy management;
- Case studies in real-world applications and industrial implementations.
The aim of this Special Issue is to foster interdisciplinary research and share innovative solutions that bridge the gap between AI and sustainable energy engineering. We welcome the submission of original research articles, reviews, and case studies that explore novel methodologies, implementations, and theoretical insights.
We look forward to receiving your valuable contributions to this timely and impactful collection.
Prof. Dr. Juvenal Rodriguez-Resendiz
Dr. Luis Angel Iturralde Carrera
Dr. Marcos Aviles
Dr. Perla Sevilla-Camacho
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence in energy systems
- machine learning for solar energy
- optimization algorithms for photovoltaic and thermal systems
- smart solar energy management
- predictive control in renewable energy
- neural networks for energy forecasting
- intelligent system integration
- data-driven energy optimization
- AI in embedded solar systems
- energy efficiency through computational intelligence
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