In our evolving energy industry, price and demand forecasting play an increasing critical role in navigating the landscape. Utilities, power producers, policymakers and other market participants need reliable forecasts to effectively plan, manage risks and maximize profit. Accurate price and demand forecasting also enables market participants to understand the implications of changing regulations and policies on energy markets and adjust their operational strategies accordingly.
This session introduces scalable AI-based forecasting solutions that cater to price and demand forecasting, capable of traversing multiple Independent System Operators (ISOs) with diverse market designs and providing support to interested stakeholders.
Dr. Mike Quashie, Arcus Power Corp's Chief Modeling Officer, wields a Ph.D. in Electrical Engineering from McGillUniversity. With an illustrious career, his expertise is a guiding force inAI-driven solutions and micro grid innovation. At Berkeley National Lab, he was part of the team that pioneered microgrid research. Presently, Mike's pivotal role centers on scalable AI solutions that revolutionize power systems.
His acumen spans machine learning, power system dynamics, and optimization, while his contributions to the IEEE Powerand Energy Society Task Force on Microgrid Dynamic Modeling cement his reputation as a visionary in the field. Driven by an unwavering commitment to sustainable energy, Mike Quashie is redefining the future of power systems emploring AI.