no code implementations • 1 Oct 2023 • Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi
By integrating it into the upper-level objective for minimizing expected operation cost, we convert the bilevel problem to a single-level one and derive the loss function for training the model.
no code implementations • 12 Sep 2023 • Xuan He, Jiayu Tian, Yufan Zhang, Honglin Wen, Yize Chen
Extensive simulations on both specific load samples and load regions validate the proposed technique can screen out more than 80% constraints while preserving the feasibility of multi-interval UC problem.
no code implementations • 2 Sep 2023 • Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuanyuan Shi
To this end, we formulate the forecast model parameter estimation as a bilevel program at the training phase, where the lower level solves the day-ahead and real-time energy dispatch problems, with the forecasts as parameters; the optimal solutions of the lower level are then returned to the upper level, which optimizes the model parameters given the contextual information and minimizes the expected operation cost of the two stages.
1 code implementation • 11 Jun 2023 • Ze Wang, Kailun Yang, Hao Shi, Yufan Zhang, Zhijie Xu, Fei Gao, Kaiwei Wang
The purpose of our research is to unleash the potential of point-line odometry with large-FoV omnidirectional cameras, even for cameras with negative-plane FoV.
no code implementations • 22 Apr 2023 • Yufan Zhang, Sujit Dey, Yuanyuan Shi
Specifically, the power network determines the charging price at various locations, while EVs on the traffic network optimize the charging power given the price, acting as price-takers.
1 code implementation • 11 Dec 2022 • Yufan Zhang, Zichao Chen, Yutong Sun, Yulin Liu, Luyao Zhang
We apply core-periphery network features analysis using the transaction data from four decentralized banks, Liquity, Aave, MakerDao, and Compound.
1 code implementation • 1 Dec 2022 • Xuan He, Honglin Wen, Yufan Zhang, Yize Chen
Unit commitment (UC) are essential tools to transmission system operators for finding the most economical and feasible generation schedules and dispatch signals.
no code implementations • 27 Nov 2022 • Yufan Zhang, Honglin Wen, Tao Feng, Yize Chen
Numerical studies demonstrate compared with the benchmarking strategy, the proposed approach can reduce the price to the reference point with less efforts in demand reduction.
no code implementations • 9 Oct 2022 • Yufan Zhang, Honglin Wen, Qiuwei Wu
The numerical study regarding a two-timescale operation of a virtual power plant verifies the superiority of the proposed approach in terms of operational value.
1 code implementation • 18 May 2022 • Yufan Zhang, Honglin Wen, Qiuwei Wu, Qian Ai
Case studies on both load and net load demonstrate that the proposed method can better adapt to data distribution compared with online central PIs method.
1 code implementation • 30 Mar 2022 • Yu Tang, Chenyu Wang, Yufan Zhang, Yuliang Liu, Xingcheng Zhang, Linbo Qiao, Zhiquan Lai, Dongsheng Li
To the best of our knowledge, we are the first to make a reasonable dynamic runtime scheduler on the combination of tensor swapping and tensor recomputation without user oversight.