Search Results for author: Kunjin Chen

Found 7 papers, 3 papers with code

GP-NAS-ensemble: a model for NAS Performance Prediction

no code implementations23 Jan 2023 Kunlong Chen, Liu Yang, Yitian Chen, Kunjin Chen, Yidan Xu, Lujun Li

It is of great significance to estimate the performance of a given model architecture without training in the application of Neural Architecture Search (NAS) as it may take a lot of time to evaluate the performance of an architecture.

Ensemble Learning Neural Architecture Search

DQN Control Solution for KDD Cup 2021 City Brain Challenge

1 code implementation14 Aug 2021 Yitian Chen, Kunlong Chen, Kunjin Chen, Lin Wang

From our perspective, the major challenge of this competition is how to extend the classical DQN framework to traffic signals control in real-world complex road network and traffic flow situation.

Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features

no code implementations1 Nov 2020 Kunjin Chen, Tomáš Vantuch, Yu Zhang, Jun Hu, Jinliang He

The detection and characterization of partial discharge (PD) are crucial for the insulation diagnosis of overhead lines with covered conductors.

Clustering Fault Detection

Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring

no code implementations17 Nov 2019 Kunjin Chen, Yu Zhang, Qin Wang, Jun Hu, Hang Fan, Jinliang He

Non-intrusive load monitoring addresses the challenging task of decomposing the aggregate signal of a household's electricity consumption into appliance-level data without installing dedicated meters.

Management Non-Intrusive Load Monitoring

Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks

1 code implementation22 Dec 2018 Kunjin Chen, Jun Hu, Yu Zhang, Zhanqing Yu, Jinliang He

This paper develops a novel graph convolutional network (GCN) framework for fault location in power distribution networks.

Data Augmentation Data Visualization

Convolutional Sequence to Sequence Non-intrusive Load Monitoring

no code implementations6 Jun 2018 Kunjin Chen, Qin Wang, Ziyu He, Kunlong Chen, Jun Hu, Jinliang He

A convolutional sequence to sequence non-intrusive load monitoring model is proposed in this paper.

Non-Intrusive Load Monitoring

Short-term Load Forecasting with Deep Residual Networks

1 code implementation30 May 2018 Kunjin Chen, Kunlong Chen, Qin Wang, Ziyu He, Jun Hu, Jinliang He

We present in this paper a model for forecasting short-term power loads based on deep residual networks.

Load Forecasting

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