Online convex optimization (OCO) with switching costs is a key enabler for cloud resource
provision, online portfolio optimization, and many other applications. Surprisingly, very little …

The stability and security of the power system is significantly influenced by large electricity
consumers, especially those with flexible demand, whose electricity purchase scheduling …

Data creates true values to the society, which urges the application of data-driven
approaches in every aspect of our lives. While data-driven approach is indeed promising …

To enable an effective electricity market, a good pricing scheme is of vital importance.
Among many practical schemes, customized pricing is commonly believed to be able to best …

The application of data-driven science to power systems is rapidly growing, particularly in
consumer behavior analysis. However, accessing user electricity consumption data has …

This research paper harnesses spatial analysis and data science to revolutionize restaurant
setup and user recommendation strategies within the online food ordering domain, focusing …

The legacy power grid is evolving into a more intelligent grid, and the classical preventive
control paradigm is also evolving into a more modern data-driven control paradigm …

The large-scale integration of renewables is very challenging due to their intermittency and
fluctuations. With the growing interest in smart grids and smart metering systems, one …

Big data enables demand side management as well as real time price prediction. In this
work, we combine these two research lines and design a robust yet customized long-term …