Search Results for author: Ye Guo

Found 26 papers, 0 papers with code

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 object-detection +1

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.

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.

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 object-detection +2

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.

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 Scenario-oriented Approach to Multi-period Energy-Reserve Joint Procurement and Pricing

no code implementations24 Sep 2021 Jiantao Shi, Ye Guo, Lang Tong, Wenchuan Wu, Hongbin Sun

In [1], a single-period co-optimization model of energy and reserve is considered to better illustrate the properties of the co-optimization model and the associated market mechanism.

Joint Covering Congestion Rents in Multi-area Power Systems Considering Loop Flow Effects

no code implementations23 Mar 2022 Hao liu, Ye Guo, Haitian Liu, Hongbin Sun

We consider the problem of how multiple areas should jointly cover congestion rents of internal and tie-lines in an interconnected power system.

Scheduling

Reducing Learning Difficulties: One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control

no code implementations30 Mar 2022 Qiong Liu, Ye Guo, Lirong Deng, Haotian Liu, Dongyu Li, Hongbin Sun, Wenqi Huang

Then we design the one-step actor-critic DRL scheme which is a simplified version of recent DRL algorithms, and it avoids the issue of Q value overestimation successfully.

A Multiple Market Trading Mechanism for Electricity, Renewable Energy Certificate and Carbon Emission Right of Virtual Power Plants

no code implementations8 Aug 2022 Zhihong Huang, Ye Guo, Qiuwei Wu, Li Xiao, Hongbin Sun

With the introduction of the inventory mechanism of REC and CER, the profit of the VPP increases and better trading decisions with multiple markets are made under the requirements of renewable portfolio standard (RPS) and carbon emission (CE) quota requirements.

Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method

no code implementations17 Aug 2022 Xinyi Yi, Ye Guo, Hongbin Sun, Qiuwei Wu, Li Xiao

The problem of heat and electricity pricing in combined heat and power systems regarding the time scales of electricity and heat, as well as thermal energy quality, is studied.

Reducing Action Space: Reference-Model-Assisted Deep Reinforcement Learning for Inverter-based Volt-Var Control

no code implementations10 Oct 2022 Qiong Liu, Ye Guo, Lirong Deng, Haotian Liu, Dongyu Li, Hongbin Sun

We investigate that a large action space increases the learning difficulties of DRL and degrades the optimization performance in the process of generating data and training neural networks.

Appendix for Nonparametric Multivariate Probability Density Forecast in Smart Grids With Deep Learning

no code implementations27 Oct 2022 Zichao Meng, Ye Guo, Wenjun Tang, Hongbin Sun

This paper proposes a nonparametric multivariate density forecast model based on deep learning.

On Degeneracy Issues in Multi-parametric Programming and Critical Region Exploration based Distributed Optimization in Smart Grid Operations

no code implementations2 Apr 2023 Haitian Liu, Ye Guo, Hao liu

Improving renewable energy resource utilization efficiency is crucial to reducing carbon emissions, and multi-parametric programming has provided a systematic perspective in conducting analysis and optimization toward this goal in smart grid operations.

Computational Efficiency Distributed Optimization +1

Multi-Interval Rolling-Window Joint Dispatch and Pricing of Energy and Reserve under Uncertainty

no code implementations8 Aug 2023 Jiantao Shi, Ye Guo, Wenchuan Wu, Hongbin Sun

In this paper, the intra-day multi-interval rolling-window joint dispatch and pricing of energy and reserve is studied under increasing volatile and uncertain renewable generations.

An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning

no code implementations15 Aug 2023 Zichao Meng, Ye Guo, Hongbin Sun

This paper studies an adaptive approach for probabilistic wind power forecasting (WPF) including offline and online learning procedures.

Incremental Learning Meta-Learning

Improving Vision-and-Language Reasoning via Spatial Relations Modeling

no code implementations9 Nov 2023 Cheng Yang, Rui Xu, Ye Guo, Peixiang Huang, Yiru Chen, Wenkui Ding, Zhongyuan Wang, Hong Zhou

Further, we design two pre-training tasks named object position regression (OPR) and spatial relation classification (SRC) to learn to reconstruct the spatial relation graph respectively.

Position regression Relation +3

Dynamic Operating Envelopes Embedded Peer-to-Peer-to-Grid Energy Trading

no code implementations23 Nov 2023 Zhisen Jiang, Ye Guo, Hongbin Sun, Jianxiao Wang

A novel decentralized peer-to-peer-to-grid (P2P2G) trading mechanism considering distribution network integrity is proposed.

energy trading

Integrating Renewable Energy Sources as Reserve Providers: Modeling, Pricing, and Properties

no code implementations24 Dec 2023 Wenli Wu, Ye Guo, Jiantao Shi

Potential generator outages and deviations in renewable and load power are modelled through a given number of probability-weighted scenarios.

Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum

no code implementations26 Feb 2024 Hanbing Liu, Jingge Wang, Xuan Zhang, Ye Guo, Yang Li

Specifically, we construct a transfer curriculum over the source and intermediate domains based on Wasserstein distance, motivated by theoretical analysis of CDA.

Capacity Estimation Domain Adaptation +3

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