Interchange Recharged
AI is transforming demand-side management
Jan 3, 2024
The podcast explores the impact of AI in energy management, discussing its use in strategic forecasting, risk management, and optimization. It highlights AI's ability to improve efficiency, strengthen the grid, and adapt to real-time changes. The chapters cover topics such as code writing for AI development, battery storage optimization, data transparency for grid optimization, and regulatory challenges for AI adoption.
30:14
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Quick takeaways
- AI can improve the efficiency and reliability of energy management by using data and machine learning to forecast supply and demand at a detailed level.
- AI has the potential to revolutionize energy markets and trading by enabling data-driven approaches and improving decision-making based on predictive models.
Deep dives
AI and the Need for Predictions in Energy Transition
AI can provide better predictions in the electricity grid, which is crucial for balancing the grid and supporting the energy transition. With increased weather volatility and renewable generation supply, the AI-based modeling can capture dynamic interactions and make accurate predictions for supply and demand on the grid.
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