Search Results - "Tacklim Lee"

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  1. 1

    Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization by Park, Sanguk, Park, Sangmin, Choi, Myeong-in, Lee, Sanghoon, Lee, Tacklim, Kim, Seunghwan, Cho, Keonhee, Park, Sehyun

    Published in Sensors (Basel, Switzerland) (31-08-2020)
    “…Currently, many intelligent building energy management systems (BEMSs) are emerging for saving energy in new and existing buildings and realizing a sustainable…”
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    Journal Article
  2. 2

    Design and Implementation of a Smart IoT Based Building and Town Disaster Management System in Smart City Infrastructure by Park, Sangmin, Park, Soung, Park, Lee, Park, Sanguk, Lee, Sanghoon, Lee, Tacklim, Lee, Sang, Jang, Hyeonwoo, Kim, Seung, Chang, Hangbae, Park, Sehyun

    Published in Applied sciences (01-11-2018)
    “…Recently, fire accidents in buildings have become bigger around the world, and it has become necessary to build an efficient building disaster management…”
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    Journal Article
  3. 3

    Enhancing Electric Vehicle Charging Infrastructure: A Techno-Economic Analysis of Distributed Energy Resources and Local Grid Integration by Lee, Tacklim, Yoon, Guwon, Kang, Byeongkwan, Choi, Myeong-in, Park, Sangmin, Park, Junhyun, Park, Sehyun

    Published in Buildings (Basel) (01-08-2024)
    “…The electric vehicle (EV) industry has emerged in response to the necessity of reducing greenhouse gas emissions and combating climate change. However, as the…”
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    Journal Article
  4. 4

    IoT-based monitoring system using tri-level context making model for smart home services by Byeongkwan Kang, Sunghoi Park, Tacklim Lee, Sehyun Park

    “…In future smart home based on Internet of Things (IoT), data acquisition and information analysis through various sensors will play a crucial role, and it will…”
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    Conference Proceeding
  5. 5

    Smart Fire Safety Management System (SFSMS) Connected with Energy Management for Sustainable Service in Smart Building Infrastructures by Park, Sangmin, Lee, Sanghoon, Jang, Hyeonwoo, Yoon, Guwon, Choi, Myeong-in, Kang, Byeongkwan, Cho, Keonhee, Lee, Tacklim, Park, Sehyun

    Published in Buildings (Basel) (01-12-2023)
    “…The scale of human accidents and the resultant damage has increased due to recent large-scale urban (building) fires, meaning there is a need to devise an…”
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    Journal Article
  6. 6

    Carbon-Neutral ESG Method Based on PV Energy Generation Prediction Model in Buildings for EV Charging Platform by Yoon, Guwon, Kim, Seunghwan, Shin, Haneul, Cho, Keonhee, Jang, Hyeonwoo, Lee, Tacklim, Choi, Myeong-in, Kang, Byeongkwan, Park, Sangmin, Lee, Sanghoon, Park, Junhyun, Jung, Hyeyoon, Shmilovitz, Doron, Park, Sehyun

    Published in Buildings (Basel) (01-08-2023)
    “…Energy prediction models and platforms are being developed to achieve carbon-neutral ESG, transition buildings to renewable energy, and supply sustainable…”
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    Journal Article
  7. 7

    Security Issues on Smart Grid and Blockchain-based Secure Smart Energy Management System by Kim, Seung Min, Lee, Tacklim, Kim, Seunghwan, Park, Lee Won, Park, Sehyun

    Published in MATEC web of conferences (2019)
    “…The Smart Grid has emerged to address the shortcomings of one-way existing grid systems, and is the next generation power grid infrastructure that applies…”
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    Journal Article Conference Proceeding
  8. 8

    Design and implementation of intelligent HVAC system based on IoT and Bigdata platform by Tacklim Lee, Seonki Jeon, Dongjun Kang, Lee Won Park, Sehyun Park

    “…Through the development of high-tech industry and networks, IoT technology collect and analyze data about consumer and environmental information to provide…”
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    Conference Proceeding
  9. 9

    Design and implementation of wristband-based smart energy management system by Jaekeun Lee, Sunghoi Park, Tacklim Lee, Jinsung Byun, Sehyun Park

    “…This paper proposes a novel energy management system using an energy management smart band (EMSB) and an intelligent smart plug (ISP). The proposed system cuts…”
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    Conference Proceeding
  10. 10

    Design and implementation of intelligent finger-aware system for user-centric service in IoT environment by Lee, Tacklim, Park, Sang-uk, Jang, Seongman, Seo, Soono, Park, Sehyun

    “…Internet of Things (IoT) is one of the future technology. It is available to provide customized services, such as energy monitoring, healthcare and security…”
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    Conference Proceeding Journal Article
  11. 11

    Design and implementation of personalized home energy management system based on mobile device by Daebeom Jeong, Tacklim Lee, Jaekeun Lee, Byeongkwan Kang, Sehyun Park

    “…This paper proposes a personalized home energy management system (PHEMS) which manages the electric power consumption of household appliances by using a user's…”
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    Conference Proceeding
  12. 12
  13. 13

    Intelligent Energy Supply Management Model for Distributed Energy-based Reduce Carbon Emission by Yoon, Guwon, Shin, Haneul, Jung, Hyeyoon, Huang, Yixuan, Lee, Tacklim, Park, Sangmin, Park, Sehyun

    “…In order to intelligently respond to energy demand, it efficiently supplies energy to users in connection with distributed energy generation and energy storage…”
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    Conference Proceeding
  14. 14

    Energy Storage System Management Method based on Deep Learning for Energy-efficient Smart Home by Jang, Hyeonwoo, Lee, Tacklim, Kim, Seung Min, Lee, Jaeyong, Park, Sehyun

    “…With increasing energy problems, energy management becomes more important around the world. As Smart Home Technology is applied to the home, many methods of…”
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    Conference Proceeding
  15. 15

    Design of Intelligent Energy Management System based on User Schedule by Kim, SeungHwan, Lee, Tacklim, Kim, Seung Min, Lee, Sanghoon, Park, Sehyun

    “…As energy management becomes more important, many energy management systems are emerging. This paper proposes a system to manage the energy inside the office…”
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    Conference Proceeding
  16. 16

    Deep Learning Suggestions for Analyzing Student Activity Data by Park, Hyeonghu, Lee, Tacklim, Cho, Keonhee, Jang, Hyeonwoo, Park, Sehyun

    “…In this study, eight data are collected data. Eight data were obtained through surveys and interviews, and some data were analyzed after being obtained through…”
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    Conference Proceeding
  17. 17

    Intelligent solar module: Application of AI to improve failure rate due to Climate change by Park, Junhyun, Yoon, Guwon, Cho, Keonhee, Lee, Tacklim, Choi, Myeong-In, Park, Sehyun

    “…This paper proposes a method to apply artific ial intelligence to prevent the failure of photovol taic modules and the degradation of energy effic iency…”
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    Conference Proceeding
  18. 18

    Optimal Energy Use Ratio Adjustment Simulation to Reduce Carbon Emissions by Han, Hohyeon, Kim, Seunghwan, Choi, Sungsan, Park, Junhyun, Lee, Tacklim, Park, Sanguk, Park, Sehyun

    “…Recently, greenhouse gas emissions have reached their highest level, and many policies are being pursued worldwide. In order to cope with the climate crisis,…”
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    Conference Proceeding
  19. 19

    Energy Consumption Prediction System Based on Deep Learning with Edge Computing by Lee, Sang Hyeon, Lee, Tacklim, Kim, Seunghwan, Park, Sehyun

    “…Governments around the world are actively pursuing research on smart cities as an attempt to pursue the cityߣs sophistication and sustainability. In order to…”
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    Conference Proceeding
  20. 20

    Prediction of Machine Learning Base for Efficient Use of Energy Infrastructure in Smart City by Yoon, Guwon, Park, Sanguk, Park, Sangmin, Lee, Tacklim, Kim, Seunghwan, Jang, Hyeonwoo, Lee, Sanghyeon, Park, Sehyun

    “…The 21st century, which we live in today, is rapidly changing based on the fourth industrial revolution and information and communication technology. According…”
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    Conference Proceeding