no code implementations • 26 Jan 2024 • Heyang Yu, Yuxi Sun, Yintao Liu, Guangchao Geng, Quanyuan Jiang
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.
no code implementations • 22 Jun 2023 • Heyang Yu, Chuanzi Xu, Weifeng Wang, Guangchao Geng, Quanyuan Jiang
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.
no code implementations • 2 Aug 2021 • Rong Yan, Yuxuan Yuan, Zhaoyu Wang, Guangchao Geng, Quanyuan Jiang
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.
no code implementations • 3 Apr 2020 • Rong Yan, Guangchao Geng, Quanyuan Jiang
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.