Emerging applications of data-driven intelligence as an enabler for demand response in wholesale and local markets (slides)

Demand response field implementation still face some significant issues. Data-mining and data analytics, including machine learning, deep learning, and reinforcement learning, are adequate to overcome those issues moving towards data-driven models that enable the widespread of efficient demand response. This panel covers the required process to profit from the existing resources and opportunities through sustainable market based mechanisms, services and products. Data-driven intelligence to enable effective demand response in a market context is the main focus, including models and methods for resources aggregation and profiling using artificial intelligence and data mining techniques. The role of aggregators as connection points between local communities and wholesale markets is also explored, assessing the means to establish the necessary links that enable small sized resources access wholesale market transactions.