Search Results for author: ZhaoYang Dong

Found 7 papers, 2 papers with code

On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads

1 code implementation22 Mar 2024 Shuai Lu, Jiayi Ding, Wei Gu, Junpeng Zhu, Yijun Xu, ZhaoYang Dong, Zezheng Sun

To address this, we analyze the structural and practical identifiability of the PFL model, deriving the condition for the solution uniqueness.

Framework of Resilient Transmission Network Reconfiguration Considering Cyber-Attacks

no code implementations28 Jan 2024 Chao Yang, Gaoqi Liang, Steven R. Weller, Shaoyan Li, Junhua Zhao, ZhaoYang Dong

Fast and reliable transmission network reconfiguration is critical in improving power grid resilience to cyber-attacks.

Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters

no code implementations20 Dec 2023 Dafeng Zhu, Bo Yang, Yu Wu, Haoran Deng, ZhaoYang Dong, Kai Ma, Xinping Guan

This paper presents a carbon-energy coupling management framework for an industrial park, where the carbon flow model accompanying multi-energy flows is adopted to track and suppress carbon emissions on the user side.

energy trading Management +1

Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings

no code implementations12 Oct 2023 Zeyin Hou, Shuai Lu, Yijun Xu, Haifeng Qiu, Wei Gu, ZhaoYang Dong, Shixing Ding

The thermal inertia of buildings brings considerable flexibility to the heating and cooling load, which is known to be a promising demand response resource.

A Fully Adaptive DRO Multistage Framework Based on MDR for Generation Scheduling under Uncertainty

1 code implementation Engineering, Environmental Science 2023 Ying Yang, Linfeng Yang, ZhaoYang Dong

Abstract—The growing proliferation of wind power into the power grid achieves a low-cost sustainable electricity supply while introducing technical challenges with associ-ated intermittency.

Scheduling

Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques

no code implementations25 Nov 2020 Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud, Md. Enamul Haque, ZhaoYang Dong

Energy forecasting has a vital role to play in smart grid (SG) systems involving various applications such as demand-side management, load shedding, and optimum dispatch.

Management Probabilistic Deep Learning

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