Demonstration of ALBidS: Adaptive Learning Strategic Bidding System

摘要

The constant growth in electricity markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behaviour. The need for understanding the market mechanisms and how the involved players' interaction affects the outcomes of the markets contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions, such as electricity markets.