New technologies, systems, societal organization and policies for energy saving are
urgently needed in the context of accelerated climate change, the Ukraine conflict and the …

Deep neural networks have revolutionized many machine learning tasks in power systems,
ranging from pattern recognition to signal processing. The data in these tasks are typically …

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 …

The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

Following the fourth industrial revolution, and with the recent advances in information and
communication technologies, the digital twinning concept is attracting the attention of both …

The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …

This paper provides a comprehensive review of the applications of smart meters in the
control and optimisation of power grids to support a smooth energy transition towards the …

The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …

This paper reviews applied single and hybrid solar energy-saving techniques with emphasis
on solar chimney, Trombe wall, and photovoltaics for building energy consumption and …

Energy flexibility, through short-term demand-side management (DSM) and energy storage
technologies, is now seen as a major key to balancing the fluctuating supply in different …