Thesis title:
AI Applications in Future Energy Markets
Abstract:
Initially attempting to answer the questions: “to what extent publicly available data on the energy system can be used to reverse-engineer trading strategies?”, “how agents may behave in a market with varying conditions to today’s market”, “what impact having such information would have on the functioning of the market?” and “how regulation needs to be developed to facilitate the applications of AI”.
Social media:
LinkedIn – https://www.linkedin.com/in/drake-siard-0890141/
First supervisor:
Dr Fei Teng
CASE partner:
Baringa Partners LLP
Pathway:
4 – Economics, Finance & the World Economy
Cohort:
2020-21