Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

In alignment with the rapid development of artificial intelligence in the era of data
management, the application domains for machine learning have expanded to all …

With the development of advanced information techniques, smart energy meters have made
a considerable amount of real-time electricity consumption data available. These data …

Power grids are cyber-physical systems and can be modelled as network systems where
individual units (generators, busbars and loads) are interconnected through physical and …

In many countries distributed energy resources (DER)(eg photovoltaics, batteries, wind
turbines, electric vehicles, electric heat pumps, air-conditioning units and smart domestic …

With the development of data-driven models, extracting information from historical data for
better energy forecasting is critically important for energy planning and optimization in …

Load shapes derived from smart meter data are frequently employed to analyze daily energy
consumption patterns, particularly in the context of applications like Demand Response …

Developing effective energy use and management strategies requires the knowledge of
determinants and patterns of the electricity usage behavior of different consumers. This …

Most of the developed and developing countries around the world are delving into the
implementation of demand response (DR) strategies in demand side management (DSM) to …

In the current deregulated electricity market, flexible consumers are more active in
participating in market activities via the representation of electricity retailers. However …