Zhijian Jin

Orcid: 0000-0003-1507-8321

According to our database1, Zhijian Jin authored at least 14 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach.
CoRR, 2024

2023
Erratum to "A Pulsed Current Inductive Method and Its Applications for Continuous Measurement of the Critical Current of Long Superconducting Tapes".
IEEE Trans. Instrum. Meas., 2023

2022
A Pulsed Current Inductive Method and Its Applications for Continuous Measurement of the Critical Current of Long Superconducting Tapes.
IEEE Trans. Instrum. Meas., 2022

Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach.
CoRR, 2022

Wind energy forecasting with missing values within a fully conditional specification framework.
CoRR, 2022

2021
Probabilistic Load Forecasting via Neural Basis Expansion Model Based Prediction Intervals.
IEEE Trans. Smart Grid, 2021

2020
Two-Layer Transfer-Learning-Based Architecture for Short-Term Load Forecasting.
IEEE Trans. Ind. Informatics, 2020

Dimensional Pricing Based on Dynamism of Load.
CoRR, 2020

Analysis of Peak Electromagnetic Torque Characteristics for Superconducting DC Induction Heaters.
IEEE Access, 2020

Unearthing Details of Time Series of Load: A Dual-scale Input Structured LSTM Approach.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019
Probabilistic Wind Power Forecasting via Bayesian Deep Learning Based Prediction Intervals.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images.
CoRR, 2018

2017
Short-term load forecasting using a long short-term memory network.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

2005
Modeling and Prediction of Electric Arc Furnace Based on Neural Network and Chaos Theory.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005


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