The growing success of smart grids (SGs) is driving increased interest in load forecasting
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …

Power networks are undergoing a fundamental transition, with traditionally passive
consumers becoming 'prosumers'—proactive consumers with distributed energy resources …

The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …

In the smart grid, one of the most important research areas is load forecasting; it spans from
traditional time series analyses to recent machine learning approaches and mostly focuses …

Abstract Peer-to-Peer (P2P) energy trading has gained much attention recently due to the
advanced development of distributed energy resources. P2P enables prosumers to trade …

As with many other sectors, to improve the energy performance and energy neutrality
requirements of individual buildings and groups of buildings, built environment is also …

The world is rapidly urbanizing, and the energy intensive built environment is becoming
increasingly responsible for the world's energy consumption and associated environmental …

Both deterministic and probabilistic load forecasting (DLF and PLF) are of critical importance
to reliable and economical power system operations. However, most of the widely used …

Smart energy has evolved over the years to include multiple domains integrated across
multiple technology themes, such as electricity, smart grid, and logistics, linked through …

With the gradual deployment of smart meters in many cities around the world, new
opportunities arise in reducing energy usage and improving consumers' information and …