Editorial: Advanced data-driven methods and applications for smart power and energy systems

With the rapid development of renewable wind and solar energy, energy storage, and energy markets, as well as with the integration of advanced measurement, communication and control technologies in modern power and energy systems, a large amount of data can be collected from the generation side, the grid side and also the demand side, which provides great inspiration for a sustainable and green future. Chu and Majumdar, (2012) provided a snapshot of the current energy landscape and discussed several research and development opportunities and pathways that could lead to a prosperous, sustainable and secure energy future for the world. Gijzen, (2013) advocated more “big data” at the United Nations General Assembly in New York to help secure a sustainable future. Kusiak, (2016) developed a data-and-knowledge sharing platform for renewable energy, which allows wind farms to be optimized through data mining. However, how to effectively utilize the big data of various entities to ensure energy adequacy, energy efficiency and energy security remains a great challenge in the field of power and energy system research.