output
20172026
most citedTodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification

110 citations

13 papers

math.OC2026

Unit-to-Plant Stability Shaping of Multi-Electrolyzer ReP2H Plants via Interface Design and Dispatch

Miao Zhang, Yiwei Qiu, Xiaoyu Wang +5

Alkaline water electrolysis (AWE) units supplied by insulated gate bipolar transistor rectifiers (IGBT-Rs) may experience oscil-lations caused by coupling between rectifier control…

cs.LG2026★ 1 cited

Robust Fuzzy local k-plane clustering with mixture distance of hinge loss and L1 norm

Junjun Huang, Xiliang Lu, Xuelin Xie +1

K-plane clustering (KPC), hyperplane clustering, and mixture regression all essentially fall within the same class of problems. This problem can be conceptualized as clustering in…

eess.SY2025

Controlled Evolution-Based Day-Ahead Robust Dispatch Considering Frequency Security with Frequency Regulation Loads and Curtailable Loads

Kai Kang, Xiaoyu Peng, Kui Luo +2

With the extensive integration of volatile and uncertain renewable energy, power systems face significant challenges in primary frequency regulation due to instantaneous power fluc…

eess.SY2024★ 16 cited

Optimal Dispatch Strategy for a Multi-microgrid Cooperative Alliance Using a Two-Stage Pricing Mechanism

Yonghui Nie, Zhi Li, Jie Zhang +3

To coordinate resources among multi-level stakeholders and enhance the integration of electric vehicles (EVs) into multi-microgrids, this study proposes an optimal dispatch strateg…

cs.IR2023★ 28 cited

Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation

Fuyun Wang, Xingyu Gao, Zhenyu Chen +1

Session-based recommendation (SBR) aims to predict the next item at a certain time point based on anonymous user behavior sequences. Existing methods typically model session repres…

cs.LG2023★ 110 cited

TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification

Huaiyuan Liu, Xianzhang Liu, Donghua Yang +4

Multivariate time series classification (MTSC) is an important data mining task, which can be effectively solved by popular deep learning technology. Unfortunately, the existing de…

eess.SY2021★ 5 cited

Robust Scheduling of Virtual Power Plant under Exogenous and Endogenous Uncertainties

Yunfan Zhang, Feng Liu, Zhaojian Wang +3

Virtual power plant (VPP) provides a flexible solution to distributed energy resources integration by aggregating renewable generation units, conventional power plants, energy stor…

eess.SY2020★ 57 cited

Review of Learning-Assisted Power System Optimization

Guangchun Ruan, Haiwang Zhong, Guanglun Zhang +3

With dramatic breakthroughs in recent years, machine learning is showing great potential to upgrade the toolbox for power system optimization. Understanding the strength and limita…

cs.CL2020

Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models

Silin Gao, Zhijian Ou, Wei Yang +1

There has been a long recognition that discrete features (n-gram features) and neural network based features have complementary strengths for language models (LMs). Improved perfor…

eess.SY2019★ 23 cited

Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model

Changsheng Chen, Wenyun Ju, Kai Sun +1

Online decision support for effective mitigation actions against propagating cascading outages in a power grid still poses a big challenge to grid operators. This paper proposes an…

eess.SY2019★ 5 cited

Toward Distributed Stability Analytics for Power Systems with Heterogeneous Bus Dynamics

Peng Yang, Feng Liu, Zhaojian Wang +3

The stability issue emerges as a growing number of diverse power apparatus connecting to the power system. The stability analysis for such power systems is required to adapt to het…

eess.SY2019★ 2 cited

Towards Distributed Stability Analytics of Dynamic Power Systems: A Phasor-Circuit Theory Perspective

Peng Yang, Feng Liu, Zhaojian Wang +1

With the rapid development of renewable and distributed energies, the underlying dynamics of power systems are no longer dominated by large synchronous generators, but by numerous…

math.OC2017★ 1 cited

Optimal Residential Demand Response Considering the Operational Constraints of Unbalanced Distribution Networks

Weiye Zheng, Wenchuan Wu, Boming Zhang +1

As a typical approach of demand response (DR), direct load control (DLC) enables load service entity (LSE) to adjust electricity usage of home-end customers for peak shaving during…