AI-Enabled Energy Innovation: Evidence from Renewable Energy, Data Analytics and Engineering Innovation
Jose C. Alvarez
Chair
IEEE Industry Applications Society (IAS) Peru Chapter
Abstract
The keynote presents a research trajectory connecting renewable-energy technologies, engineering data analytics, knowledge management, and innovation methods. Drawing on research cases involving hybrid PV/Battery/Diesel systems, sustainable energy applications in rural communities, thermographic data analytics, TRIZ, exergy analysis, and solar-energy innovation ecosystems, the presentation explores how intelligent approaches can support better engineering decisions and sustainable technological development.
The central message is that AI becomes most valuable when it amplifies engineering capabilities rather than being added as an isolated technology. The presentation concludes with a practical perspective connecting Problem, Data, Knowledge, Intelligence, and Action.