Adapting Optimization Approaches in ERCOT’s Saturating Ancillary Market

Synopsis

The leading trading teams now rely on the predictive power of algorithmic bidding platforms, leveraging supervised and reinforced machine learning, to manage bidding for their energy storage assets. Changing market landscapes require these algorithms to flexibly shift between energy and ancillary products to maximize value. This session explores how traders are increasingly finding opportunities with DA and RT energy arbitrage.