Most existing data-driven power system short-term voltage stability assessment (STVSA)
approaches presume class-balanced input data. However, in practical applications, the …

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 …

This paper presents the energy management of smart distribution network including
integrated system of hydrogen storage and renewable sources. Objective is to assess …

A community integrated energy system (CIES) is an important carrier of the energy internet
and smart city in geographical and functional terms. Its emergence provides a new solution …

In a modern power system with an increasing proportion of renewable energy, wind power
prediction is crucial to the arrangement of power grid dispatching plans due to the volatility …

Multi-uncertainties from power sources and loads have brought significant challenges to the
stable demand supply of various resources at islands. To address these challenges, a …

In order to improve the penetration of renewable energy resources for distribution networks,
a joint planning model of distributed generations (DGs) and energy storage is proposed for …

The development of miniaturized nuclear power (NP) units and the improvement of the
carbon trading market provide a new way to realize the low-carbon operation of integrated …

The interdependence of different energy forms and flexible energy interaction among
multiagents in an integrated energy system (IES) are significant for reducing carbon …

Given the ladder-type carbon tax in the carbon quota market is a relatively macroscopic
large-time scale concept, and the volatility and uncertainty of new energy generation output …