A Reinforcement Learning Mechanism for Trading Wind Power Futures

A Reinforcement Learning Mechanism for Trading Wind Power Futures

Explore a Reinforcement Learning Mechanism for Trading Wind Power Futures in this NYU Brooklyn Quant Experience (BQE) Seminar Series talk by Adjunct Professor Bruno Kamdem. Delve into topics such as energy security, market setup, machine learning, and reinforcement learning models. Examine the policy contracts, historical data, and development work involved in this innovative approach to wind power trading. Gain insights into narrow predictability, expectations theorem, and the implications for energy credits in this comprehensive presentation on applying advanced quantitative techniques to renewable energy markets.