The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …

Flexibility in power systems is ability to provide supply-demand balance, maintain continuity
in unexpected situations, and cope with uncertainty on supply-demand sides. The new …

China, with a heavy dependence on coal power, has announced a clear goal of carbon
neutrality by 2060. Electrification of final energy use and high penetration of renewable …

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 …

The deployment of energy storage systems (ESSs) is a significant avenue for maximising the
energy efficiency of a distribution network, and overall network performance can be …

Liquid air energy storage (LAES) represents one of the main alternatives to large-scale
electrical energy storage solutions from medium to long-term period such as compressed air …

Demand response (DR) is a critical and effective measure to stimulate the demand side
resources to interact with renewable generation in the power system. However, the …

Abstract Intelligent Energy Networks are comprised of devices capable of fulfilling their
functions in an energy-efficient fashion and with communication and remote control …

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 …

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 …