Does Artificial Intelligence Replace the Crystal Ball? Big Data Analytics in the Energy Sector
summary
The session examines use of Big Data and AI in the energy sector to analyze large data streams for forecasting, early detection of grid faults, and unlocking efficiency potentials. It covers technologies and topics such as smart meter rollouts, distribution grid digitization, virtual power plants, intelligent storage, cloud/platform models, and cybersecurity, with contributions from AI/Data Science teams, energy startups, and utilities/CTO perspectives.
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chapters (10)
- 0:00AI and Big Data in energy
- 4:18Big Data challenges
- 8:12AI necessity for energy transition
- 12:30AI in production and consumption
- 17:43Democratizing AI for SMEs
- 20:13AI investment costs and benefits
- 22:42AI risks and security
- 25:50AI in digitalization strategy
- 26:33AI success factors
- 27:58AI funding models
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