The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …

Many industrialised countries have benefited from the advent of twenty-first century
technologies, especially automation, that have fundamentally changed manufacturing and …

The rapid development of the smart energy system promotes bidirectional communications
between the supply-side and demand-side. End users can handily receive real-time prices …

This work extensively develops and evaluates an XGBoost model for predictive analysis of
gas turbine performance. The goal is to construct a robust prediction model by utilizing …

Develo** the deep learning (DL) technique is a promising way to enhance smart grid (SG)
cybersecurity. However, previous DL methods require massive attack samples for …

The increasing penetration of distributed renewable generation has introduced significant
uncertainties and randomness to the power distribution network operation. Accurate and …

Load forecasting is crucial for the economic and secure operation of power systems.
Extreme weather events, such as extreme heat and typhoons, can lead to more significant …

Dealing with large percentage data missing is always a challenge for load data recovery.
This paper, drawing on ideas from image inpainting, formulates load missing data recovery …

Purpose This study uses the resource-based view (RBV) and isomorphism to investigate the
influence of data-based resources (ie bigness of data, data accessibility (DA) and data …