Search Results for author: Ye Guo

Found 7 papers, 0 papers with code

A Scenario-oriented Approach to Energy-Reserve Joint Procurement and Pricing

no code implementations16 Jul 2021 Jiantao Shi, Ye Guo, Lang Tong, Wenchuan Wu, Hongbin Sun

We consider some crucial problems related to the secure and reliable operation of power systems with high renewable penetrations: how much reserve should we procure, how should reserve resources distribute among different locations, and how should we price reserve and charge uncertainty sources.

A Multivariate Density Forecast Approach for Online Power System Security Assessment

no code implementations7 May 2021 Zichao Meng, Ye Guo, Wenjun Tang, Hongbin Sun, Wenqi Huang

A multivariate density forecast model based on deep learning is designed in this paper to forecast the joint cumulative distribution functions (JCDFs) of multiple security margins in power systems.

Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection

no code implementations CVPR 2021 Zhenyu Wang, YaLi Li, Ye Guo, Lu Fang, Shengjin Wang

In this paper, we delve into semi-supervised object detection where unlabeled images are leveraged to break through the upper bound of fully-supervised object detection models.

Object Detection Semi-Supervised Object Detection

Pricing Energy Storage in Real-time Market

no code implementations25 Jan 2021 Cong Chen, Lang Tong, Ye Guo

It is also shown that such settlements give rise to disincentives for generating firms and storage participants to bid truthfully, even when these market participants are rational price-takers in a competitive market.

Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net

no code implementations28 Sep 2020 Chuanbo Wang, Ye Guo, Wei Chen, Zeyun Yu

With the advance of deep learning, various neural network models have gained great success in image analysis including the recognition of intervertebral discs.

Pricing Multi-Interval Dispatch under Uncertainty Part I: Dispatch-Following Incentives

no code implementations13 Nov 2019 Ye Guo, Cong Chen, Lang Tong

Part I investigates dispatch-following incentives of profit-maximizing generators and shows that, under mild conditions, no uniform-pricing scheme for the rolling-window economic dispatch provides dispatch-following incentives that avoid discriminative out-of-the-market uplifts.

CS-R-FCN: Cross-supervised Learning for Large-Scale Object Detection

no code implementations30 May 2019 Ye Guo, Ya-Li Li, Shengjin Wang

Generic object detection is one of the most fundamental problems in computer vision, yet it is difficult to provide all the bounding-box-level annotations aiming at large-scale object detection for thousands of categories.

Object Detection

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