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Electrical Behavior Association Mining for Household ShortTerm Energy Consumption Forecasting
Accurate household short-term energy consumption forecasting (STECF) is crucial for home energy management, but it is technically challenging, due to highly random behaviors of individual residential users.
Communication-Free Distributed Charging Control for Electric Vehicle Group
The disordered charging of electric vehicles (EVs) in residential areas leads to a rapid increase of the peak load, causing transformer overload, but the charging control of EV group can effectively alleviate this phenomenon.
Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network
The basic idea is to learn the distribution of random walks both over a real-world system and across each phase of line segments, capturing the underlying local properties of an individual real-world distribution network and generating specific synthetic networks accordingly.
Data-Driven Transient Stability Boundary Generation for Online Security Monitoring
The purpose of this work is to establish a data-driven framework to generate sufficient critical samples close to the boundary within a limited time, covering all critical scenarios in current OP.
