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2501 Speedway, Austin, TX 78712
https://energy.utexas.edu/events/ai-short-term-power-trading-look-potential-impacts-industry-economy-and-regulationDan Erhardt, CEO of Arcus Power, unveils the transformative potential of AI in short-term power trading, spotlighting its dual role as a catalyst for efficiency and a subject for regulatory scrutiny. AI and Machine Learning (ML) significantly influence the market by improving forecasting accuracy and operational efficiency, thereby providing economic advantages to both producers and consumers in the energy sector. These technologies are not only pivotal in navigating market dynamics but also crucial in identifying and mitigating non-compliance and market manipulation in real-time, reinforcing market integrity and transparency.
However, the integration of AI also necessitates a close examination and re-evaluation of existing compliance and regulatory frameworks to foster a fair, competitive, and transparent market environment. Join Mr. Erhardt as he explores the journey and future of AI in the electricity industry, offering insights into how it reshapes short-term power trading, impacts economic paradigms, and interacts with regulatory structures. With a look back at the industry's evolution over the past two decades and a forward gaze into the next twenty years, Mr. Erhardt provides a comprehensive overview of AI’s transformative impact on the energy landscape.
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