Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Demand response programs offer efficient solutions for many power system problems, such
as high generation cost, high demand's peak to average ratio, high emissions, reliability …

Demand response is increasingly attracting policy attention. It involves changing electricity
demand at different times based on grid conditions, which could help to integrate variable …

The increasing penetration of renewable energy sources (RES) in power systems intensifies
the need of enhancing the flexibility in grid operations in order to accommodate the …

Smart grid enables the two-way communication between the suppliers and consumers.
Price-driven demand response (PDDR) is one of the important demand response categories …

The smart grid concept continues to evolve and various methods have been developed to
enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is …

Published research on smart homes and their users is growing exponentially, yet a clear
understanding of who these users are and how they might use smart home technologies is …

The supply of intermittent wind and solar generation with zero marginal operating cost is
increasingly rapidly in the US. These changes are creating challenges for wholesale …

Advances in IT, control and forecasting capabilities have made demand response a viable,
and potentially attractive, option to increase power system flexibility. This paper presents a …

This paper examines building energy flexibility at an aggregated level and addresses the
main barriers and research gaps for the development of this resource across three design …