Researchers from Chinese and Malaysian universities have compared studies demonstrating the use of artificial intelligence to solve PV integration problems. They say AI will bring revolutionary improvements to the efficiency, reliability and predictability of solar energy generation.
Researchers from China and Malaysia have explored the impact of artificial intelligence on PV generation systems and related applications from a global perspective. They focused on assessing AI applications in the areas of Maximum Power Point (MPP) tracking, power prediction and fault detection within PV systems.
The researchers analyzed publications showing how AI techniques solve MPP tracking problems, putting together and examining separate and hybrid AI methods pros and cons. For power prediction, AI algorithms can detect deviations from normal operations that may indicate errors or anomalies where manual inspection may not be sufficient.
“The overall message is an optimistic view of how AI can lead to more sustainable and efficient energy solutions,” said Xiaoyun Tian, researcher at Beijing University of Technology. “By improving the efficiency and deployment of renewable energy sources through AI, there is significant potential to reduce global CO2 emissions and make clean energy more accessible and reliable to a broader population.”
The article also addresses the challenges that arise as the operational efficiency of PV systems continues to improve, such as revised standards for achieving carbon neutrality, interdisciplinary collaboration and emerging smart grids.
The researchers said the next steps should focus on advancing AI techniques for PV systems, implementing AI solutions into existing PV infrastructure, scaling up successful AI integration, developing supportive policies, increasing awareness of AI benefits and aligning progress with global sustainability goals.
“AI-driven techniques are essential for the future development and widespread adoption of solar energy technologies worldwide,” said Tian.
The research article “A comprehensive overview of applications of artificial intelligence in photovoltaic systems”, is available in the latest edition of CAAI Research into artificial intelligence. The team consists of researchers from Beijing University of Technology, Chinese Science Academy, Hebei Universityand Universiti Tunku Abdul Rahman.
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