In recent years, digitalisation has rendered machine learning a key tool for improving
processes in several sectors, as in the case of electrical power systems. Machine learning …

The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

The power sector is increasingly relying on variable renewable energy sources (VRE)
whose share in energy production is expected to further increase. A key challenge for …

Digitalization is a megatrend that affects and transforms societal, economic, and
environmental processes on a global scale. Driven by a combination of technological …

Smart energy services and technologies are key components of energy transition and
decarbonisation strategies for the built environment. On the one hand, the technical potential …

This paper provides a comprehensive review of the future digitalization of microgrids to meet
the increasing energy demand. It begins with an overview of the background of microgrids …

This paper compares several models for forecasting regional hourly day-ahead electricity
prices, while accounting for fundamental drivers. Forecasts of demand, in-feed from …

The critical challenge of enhancing the resilience and sustainability of energy management
systems has arisen due to historical outages. A potentially effective strategy for addressing …

With the swift progression of digital technology, the construction of electric power cloud
platform is of great significance for the transformation of the electricity industry. Based on the …

This study leverages the transformative power of big data analytics to enhance healthcare
outcomes by integrating diverse data sources like electronic health records, medical …