Search Results - "Wei-jen Lee"

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  1. 1

    A Wind Speed Correction Method Based on Modified Hidden Markov Model for Enhancing Wind Power Forecast by Li, Menglin, Yang, Ming, Yu, Yixiao, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-01-2022)
    “…Short-term wind power forecast (WPF) depends highly on the wind speed forecast (WSF), which is the prime contributor to the forecasting error. To achieve more…”
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    Journal Article
  2. 2

    Mobility-Aware Charging Scheduling for Shared On-Demand Electric Vehicle Fleet Using Deep Reinforcement Learning by Liang, Yanchang, Ding, Zhaohao, Ding, Tao, Lee, Wei-Jen

    Published in IEEE transactions on smart grid (01-03-2021)
    “…With the emerging concept of sharing-economy, shared electric vehicles (EVs) are playing a more and more important role in future mobility-on-demand traffic…”
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  3. 3

    Robustness Analysis of Dynamic Equivalent Model of DFIG Wind Farm for Stability Study by Zhou, Yuhao, Zhao, Long, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-11-2018)
    “…With the wind power energy largely interconnected with power grid, it is necessary to develop a robust dynamic equivalent model of the wind farm for the system…”
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  4. 4

    Using Smart Meter Data to Improve the Accuracy of Intraday Load Forecasting Considering Customer Behavior Similarities by Quilumba, Franklin L., Wei-Jen Lee, Heng Huang, Wang, David Y., Szabados, Robert L.

    Published in IEEE transactions on smart grid (01-03-2015)
    “…With the deployment of advanced metering infrastructure (AMI), an avalanche of new energy-use information became available. Better understanding of the actual…”
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  5. 5

    Improved Wind Farm Aggregated Modeling Method for Large-Scale Power System Stability Studies by Wang, Peng, Zhang, Zhenyuan, Huang, Qi, Wang, Ni, Zhang, Xing, Lee, Wei-Jen

    Published in IEEE transactions on power systems (01-11-2018)
    “…Nowadays, with the highly penetrated wind generations, the accurate wind farm (WF) model is required for power system stability analysis. Due to the complexity…”
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    Journal Article
  6. 6

    Real-Time Operation Management for Battery Swapping-Charging System via Multi-Agent Deep Reinforcement Learning by Liang, Yanchang, Ding, Zhaohao, Zhao, Tianyang, Lee, Wei-Jen

    Published in IEEE transactions on smart grid (01-01-2023)
    “…Battery swapping-charging systems (BSCSs) can provide better battery swapping services for electric vehicles (EVs) in large cities. In BSCSs, EV batteries can…”
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  7. 7

    Interactive Model for Energy Management of Clustered Microgrids by Lu, Tianguang, Wang, Zhaoyu, Ai, Qian, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-05-2017)
    “…The increasing integration of distributed renewable energy resources highlights the need to design new control strategies for hybrid wind turbine-photovoltaic…”
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  8. 8

    An Integration of ANN Wind Power Estimation Into Unit Commitment Considering the Forecasting Uncertainty by Methaprayoon, K., Yingvivatanapong, C., Wei-Jen Lee, Liao, J.R.

    Published in IEEE transactions on industry applications (01-11-2007)
    “…The development of wind power generation has rapidly progressed over the last decade. With the advancement in wind turbine technology, wind energy has become…”
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  9. 9

    Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System by Lu, Ying, Liang, Yanchang, Ding, Zhaohao, Wu, Qiuwei, Ding, Tao, Lee, Wei-Jen

    Published in IEEE transactions on smart grid (01-03-2022)
    “…The autonomous mobility-on-demand (AMoD) system plays an important role in the urban transportation system. The charging behavior of AMoD fleet becomes a…”
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    Journal Article
  10. 10

    A Stochastic Microgrid Operation Scheme to Balance Between System Reliability and Greenhouse Gas Emission by Ding, Zhaohao, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-03-2016)
    “…Implementing renewable generation becomes one of the most practical approaches to reduce greenhouse gas emissions for the power sector. A microgrid, with its…”
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    Journal Article
  11. 11

    Coordinated Control Strategy of Wind Turbine Generator and Energy Storage Equipment for Frequency Support by Miao, Lu, Wen, Jinyu, Xie, Hailian, Yue, Chengyan, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-07-2015)
    “…With the increasing penetration of wind power in power systems, it is desirable for wind turbines to have similar characteristics as conventional synchronous…”
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    Journal Article
  12. 12

    Stochastic Optimal Operation of Microgrid Based on Chaotic Binary Particle Swarm Optimization by Li, Peng, Xu, Duo, Zhou, Zeyuan, Lee, Wei-Jen, Zhao, Bo

    Published in IEEE transactions on smart grid (01-01-2016)
    “…Based on fuzzy mathematics theory, this paper proposes a fuzzy multi-objective optimization model with related constraints to minimize the total economic cost…”
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  13. 13

    Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines by Shi, Jie, Lee, Wei-Jen, Liu, Yongqian, Yang, Yongping, Wang, Peng

    Published in IEEE transactions on industry applications (01-05-2012)
    “…Due to the growing demand on renewable energy, photovoltaic (PV) generation systems have increased considerably in recent years. However, the power output of…”
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  14. 14

    Transfer Learning Featured Short-Term Combining Forecasting Model for Residential Loads With Small Sample Sets by Zhang, Zhenyuan, Zhao, Pengfei, Wang, Peng, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-07-2022)
    “…In recent years, a large variety of short-term load forecasting methodologies have been proposed, but a common drawback of them is that require a large amount…”
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  15. 15

    Forecasting the Wind Generation Using a Two-Stage Network Based on Meteorological Information by Shu Fan, Liao, J.R., Yokoyama, R., Luonan Chen, Wei-Jen Lee

    Published in IEEE transactions on energy conversion (01-06-2009)
    “…This paper proposes a practical and effective model for the generation forecasting of a wind farm with an emphasis on its scheduling and trading in a wholesale…”
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  16. 16

    Spatial-Temporal Demand Management and Benefit Allocation for Geo-Distributed Charging Station and EV Aggregators by Ding, Zhaohao, Guo, Jinran, Lai, Kexing, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-11-2020)
    “…This article presents a spatial-temporal demand management scheme and cooperative benefit allocation method to optimize the operation of geodistributed…”
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  17. 17

    Two-Stage Bidding Strategy for Peer-to-Peer Energy Trading of Nanogrid by Zhang, Zhenyuan, Tang, Haoyue, Wang, Peng, Huang, Qi, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-03-2020)
    “…With more distributed energy resources penetrated into the residential community, nanogrid based peer-to-peer (P2P) energy market has rapidly emerged over…”
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  18. 18

    Integrated Operation Model for Autonomous Mobility-on-Demand Fleet and Battery Swapping Station by Ding, Zhaohao, Tan, Wenrui, Lee, Wei-Jen, Pan, Xuyang, Gao, Shiqiao

    Published in IEEE transactions on industry applications (01-11-2021)
    “…The autonomous mobility-on-demand (AMoD) system provides an alternative solution for sustainable and economical transportation system. Meanwhile, battery…”
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  19. 19

    Quality-of-Service Aware Battery Swapping Navigation and Pricing for Autonomous Mobility-on-Demand System by Ding, Zhaohao, Tan, Wenrui, Lu, Wenbing, Lee, Wei-Jen

    “…The autonomous mobility-on-demand (AMoD) system is regarded as a promising shared mobility method for the sustainable transportation system. In addition,…”
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  20. 20

    The Impact of Time-of-Use (TOU) Rate Structure on Consumption Patterns of the Residential Customers by Zhao, Long, Yang, Zhiyong, Lee, Wei-Jen

    Published in IEEE transactions on industry applications (01-11-2017)
    “…Load participation is vital for the smart grid development. As an effective tool to improve reliability, stability, and financial efficiency of the power…”
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