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Engineering and Technology

D-Index
47
Citations
8049
World Ranking
4893
National Ranking
1403

Overview

Jie Zhang is affiliated with The University of Texas at Dallas in the United States. Their research primarily spans the field of Engineering, with a strong focus on Electrical and Electronic Engineering, Control and Systems Engineering, and Artificial Intelligence. Additional areas of interest include Automotive Engineering and Aerospace Engineering.

Their work addresses several main topics, including:

  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Energy Load and Power Forecasting
  • Integrated Energy Systems Optimization
  • Solar Radiation and Photovoltaics
  • Electric Vehicles and Infrastructure
  • Optimal Power Flow Distribution

Jie Zhang has contributed to a variety of academic venues, frequently publishing in:

  • arXiv (Cornell University)
  • Applied Energy
  • Solar Energy
  • IEEE Transactions on Smart Grid
  • Journal of Renewable and Sustainable Energy

Selected recent papers include:

  • "Verification of deterministic solar forecasts", 2020, Solar Energy
  • "SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting", 2020, Solar Energy
  • "Self-adapting J-type air-based battery thermal management system via model predictive control", 2020, Applied Energy
  • "A review on the integration of probabilistic solar forecasting in power systems", 2020, Solar Energy
  • "Convolutional neural networks for intra-hour solar forecasting based on sky image sequences", 2022, Applied Energy

They have collaborated frequently with several coauthors, including:

  • Roshni Anna Jacob
  • Morteza Dabbaghjamanesh
  • Cong Feng
  • Binghui Li
  • Soroush Senemmar

Best Publications

  • Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

    Cong Feng;Mingjian Cui;Bri-Mathias Hodge;Jie Zhang

  • Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions

    Souma Chowdhury;Jie Zhang;Achille Messac;Luciano Castillo

  • A suite of metrics for assessing the performance of solar power forecasting

    Jie Zhang;Anthony Florita;Bri-Mathias Hodge;Siyuan Lu

  • Design a J-type air-based battery thermal management system through surrogate-based optimization

    Yuanzhi Liu;Jie Zhang

  • Verification of deterministic solar forecasts

    Dazhi Yang;Stefano Alessandrini;Javier Antonanzas;Fernando Antonanzas-Torres

  • Wind Power Ramp Event Forecasting Using a Stochastic Scenario Generation Method

    Mingjian Cui;Deping Ke;Yuanzhang Sun;Di Gan

  • An adaptive hybrid surrogate model

    Jie Zhang;Souma Chowdhury;Achille Messac

  • SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting

    Cong Feng;Jie Zhang

  • A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models

    Xueguan Song;Liye Lv;Wei Sun;Jie Zhang

  • Self-adapting J-type air-based battery thermal management system via model predictive control

    Yuanzhi Liu;Jie Zhang

  • A mixed-discrete Particle Swarm Optimization algorithm with explicit diversity-preservation

    Souma Chowdhury;Weiyang Tong;Achille Messac;Jie Zhang

  • Convolutional neural networks for intra-hour solar forecasting based on sky image sequences

    Unknown

  • Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods

    Jie Zhang;Caroline Draxl;Thomas Hopson;Luca Delle Monache

  • A review on the integration of probabilistic solar forecasting in power systems

    Binghui Li;Jie Zhang

  • A Multivariate and Multimodal Wind Distribution model

    Jie Zhang;Souma Chowdhury;Achille Messac;Luciano Castillo

  • A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting

    Mingjian Cui;Jie Zhang;Qin Wang;Venkat Krishnan

  • An Optimized Swinging Door Algorithm for Identifying Wind Ramping Events

    Mingjian Cui;Jie Zhang;Anthony R. Florita;Bri-Mathias Hodge

  • Probabilistic solar power forecasting based on weather scenario generation

    Mucun Sun;Cong Feng;Jie Zhang

  • Unsupervised Clustering-Based Short-Term Solar Forecasting

    Cong Feng;Mingjian Cui;Bri-Mathias Hodge;Siyuan Lu

  • Nonsimultaneous failure and ice loads on arctic structures

    Unknown

  • Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

    Turaj Ashuri;Michiel B. Zaaijer;Joaquim R.R.A. Martins;Jie Zhang

Frequent Co-Authors

Bri-Mathias Hodge
Bri-Mathias Hodge University of Colorado Boulder
Achille Messac
Achille Messac Howard University
Luciano Castillo
Luciano Castillo Purdue University West Lafayette
Hendrik F. Hamann
Hendrik F. Hamann IBM (United States)
Yuanzhang Sun
Yuanzhang Sun Wuhan University
Xueguan Song
Xueguan Song Dalian University of Technology
Brad Lehman
Brad Lehman Northeastern University
Abdollah Kavousi-Fard
Abdollah Kavousi-Fard Shiraz University of Technology
Jonathan W. Kimball
Jonathan W. Kimball Missouri University of Science and Technology
Dazhi Yang
Dazhi Yang Harbin Institute of Technology

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