10/29/2026
Can artificial intelligence help make renewable energy more reliable?
Rutgers School of Engineering researcher Aziz Ezzat is exploring how data science, energy forecasting, drones, and artificial intelligence-based analytics can improve the performance of renewable-energy systems.
His work examines practical challenges such as predicting energy production, identifying potential equipment issues, and supporting long-term grid stability. The goal is not simply to collect more data, but to turn that data into better operational decisions.
These are the kinds of complex, data-driven challenges industrial and systems engineers are prepared to address.
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