Welcome to Networking for Intelligence Communications and Energy (NICE) LAB!

We are studying Applied Machine Learning and Optimization for

Energy AI and 6G Wireless & Networks

Directed by Prof. Hongseok Kim

서강대학교 나이스랩

Recent Work with Energy AI/Deep Learning

  1. Convolutional Autoencoder based Feature Extraction and Clustering for Customer Load Analysis, S. Ryu, H. Choi, Y. Lee, and H. Kim, accepted for IEEE Transactions on Power Systems.
  2. Machine Learning based Lithium-Ion Battery Capacity Estimation Exploiting Charging Features, Y. Choi, S. Ryu, K. Park and H. Kim, IEEE Access, Vol. 7. pp.75143-75152, 2019.
  3. Practical Operation Strategies for Energy Storage System under Uncertainty, M. Kim, K. Kim, H. Choi, S. Lee and H. Kim, Energies, Vol. 12, No. 6, pp.1-14, Mar. 2019
  4. Residential Load Profile Clustering via Deep Convolutional Autoencoder, S. Ryu, H. Choi, H. Lee, H. Kim and V. W.S. Wong, IEEE SmartGridComm, October 2018.
  5. Short-Term Load Forecasting based on ResNet and LSTM, H. Choi, S. Ryu and H. Kim, IEEE SmartGridComm, October 2018.
  6. Deep Neural Network based Demand Side Short-Term Load Forecasting, S. Ryu, J. Noh and H. Kim, Energies Vol. 10, No. 1, pp.1-20, Jan. 2017 .
  7. Deep Neural Network Based Demand Side Short Term Load Forecasting, S. Ryu, J. Noh and H. Kim, IEEE SmartGridComm, July 2016.
  8. Deep Reinforcement Learning based Error Compensable Bidding for Delivering Renewable Energy to Power Grid, J. Jeong and and H. Kim, submitted to AAAI.
  9. Spatiotemporal Photovoltaic Power Forecasting Based on Convolutional Neural Network, J. Jeong and and H. Kim, submitted to Energies.
  10. Battery Remaining Useful Life Prediction with Multi-Channel Long Short-Term Memory, K. Park, H. Choi, W. J. Choi, H.-Y. Ryu, and H. Kim, submitted to IEEE Access.
  11. Short-term Load Forecasting with Missing Process using Autoencoder and LSTM, K. Park, J. Jeong, and H. Kim, to be submitted to IEEE Access.
  12. Deep Learning based Short-Term Load Forecasting and Analysis with ResNet and BiLSTM, H. Choi, S. Ryu and H. Kim, to be submitted to IEEE Access.

Notices for future members

✓ I am recruiting a couple of M.S. and Ph.D. students and also Post Doctors who are highly motivated and passionate about extending our knowledge boundary by conducting innovative research, in the area of Energy ICT, Smart Grid Communications. If you are interested in joining NICE LAB, please contact me. (email: hongseok AT sogang dot ac dot kr)

✓ For international applicants: Please customize your research statement along with the research directions of NICE LAB, especially in the area of Machine Learning and Optimization with applications of Power System, Network Economics, Microgrid, Energy Storage System, etc. I’ll not respond to email broadcastings.

2019년 디자인프로젝트 설명자료 (클릭)

NICE LAB에서는 적극적이고 열성적인 석/박사과정 대학원생 및 박사후과정을 모집하고 있습니다. 관심있는 학생들은 홈페이지를 참고하세요.

News

✓ Aug. 2019. The paper entitled "Convolutional Autoencoder based Feature Extraction and Clustering for Customer Load Analysis" has been accepted for IEEE Transactions on Power Systems (TPS).

✓ June 2019. The paper entitled "Direct Energy Trading of Microgrids in Distribution Energy Market" has been accepted for IEEE Transactions on Power Systems (TPS).

✓ May 2019. The paper entitled "Machine Learning based Lithium-Ion Battery Capacity Estimation Exploiting Charging Features" has been accepted for IEEE Access.

✓ May 2019. NICE Lab alumni, Dr. Sunghwan Bae joins Qualcomm, San Diego, USA. Congratulations!

✓ Apr. 2019. The paper entitled “Two Time-Scale Edge Caching and BS Association for Power-Delay Tradeoff in Multi-Cell Networks” has been accepted in IEEE Transactions on Communications (TCOM).

✓ Mar. 2019. The paper entitled “Practical Operational Strategies for Energy Storage System under Uncertainty” has been published in Energies.

✓ July 2018. The paper entitled “Short-Term Load Forecasting based on ResNet and LSTM” has been accepted for IEEE SmartGridComm 2018.

✓ July 2018. The paper “Residential Load Profile Clustering via Deep Convolutional Autoencoder” has been accepted for IEEE SmartGridComm 2018.

✓ July 2018. The paper entitled “Gaussian Residual Bidding-based Coalitional Framework for Renewable Energy Market” has been accepted for IEEE Access.

✓ Oct. 2017. The paper entitled “Towards Harmonious Coexistence in Unlicensed Spectrum: Rational Cooperation of Operators” has been accepted for Sensors.

✓ Sep. 2017. The paper entitled “On Optimal Cooperative Sensing Using Energy Detection in Cognitive Radio” has been accepted for Sensors.

✓ Jul. 2017. Prof. Hongseok Kim is on a sabbatical leave for one year and joined the University of British Columbia as a Visiting Associate Professor hosted by Prof. Vincent Wong (https://www.ece.ubc.ca/~vincentw/Homepage/Home.html).

✓ Jun. 2017. Prof. Hongseok Kim gave a talk “Smart Battery Management System for Future Smart Grid” at LG Chemical R&D Campus, Daejeon.

✓ Jun. 2017. Prof. Hongseok Kim gave a talk “Deep Neural Network for Short-term Load Forecasting” at Chung-Ang University hosted by Prof. Daehyun Choi.

✓ Jun. 2017. Prof. Hongseok Kim gave a talk “Deep Neural Network for Short-term Load Forecasting” at Soongsil University hosted by Prof. Sung-Guk Yoon.

✓ Jun. 2017. Prof. Hongseok Kim gave a talk “Artificial Intelligence and Power Technologies” at Korea Aerospace University hosted by Prof. Jaehwan Lee.

✓ May 2017. The paper “Multiple Power Line Outage Detection in Smart Grids: A Probabilistic Bayesian Approach” has been accepted for IEEE Access.

✓ Apr. 2017. The paper entitled “Optimal Energy Scheduling and Transaction Mechanism for Multiple Microgrids” has been accepted for Energies.

✓ Apr. 2017. The paper entitled “Downscaling method of target geometries with minimum distortions on statistical features of radar cross sections for 77-GHz automotive radars” has been accepted for Microwave and Optical Technologies Letters.

✓ Mar. 2016. Prof. Hongseok Kim gave a talk “Artificial Intelligence and Power Technologies” at Hyosung CTO R&DE Center.

✓ Mar. 2017. The paper “Robust Operation of Energy Storage System with Uncertain Load Profiles” has been accepted for Energies.

✓ Feb 2017. Prof. Hongseok Kim gave a talk “Optimal Operation of PV and ESS for Energy Prosumers” at 산업교육연구소 for 170+ audiences.

✓ Feb. 2017. The paper entitled “Coalition-based Bidding Strategies for Integrating Renewable Energy Sources in Electricity Market” has been accepted for IEEE Power and Energy Society – General Meeting (PES-GM) 2017!

✓ Jan 2017. Sunghwan Bae and Prof. Hongseok Kim gave a talk “Robust Cooperative Sensing with ON/OFF Signaling over Imperfect Reporting Channels,” at Coding and Information Theory Workshop (부호및정보이론연구회).

✓ Dec 2016. Prof. Hongseok Kim gave a talk “Optimal Operation of PV and ESS for Energy Prosumers” at 산업교육연구소 for 270+ audiences.

✓ Dec. 2016. The paper entitled “Deep Neural Network Based Demand Side Short Term Load Forecasting” has been accepted for Energies.

✓ Dec. 2016. Prof. Hongseok Kim received the Haedong Young Professor Award from Haedong Science Cultural Foundation.

✓ Dec. 2016. The paper entitled “ON/OFF Reporting Mechanism for Robust Cooperative Sensing in Cognitive IoT Networks” has been accepted for IEEE WCNC 2017.

✓ Nov. 2016. The paper entitled “Green Small Cell Operation of Ultra Dense Networks Using Devices Assistance” has been accepted for Energies.

✓ Nov. 2016. The paper entitled “Data-driven Battery Degradation Model Leveraging Average Degradation Function Fitting” has been accepted for Electronics Letters.

✓ Sep. 2016. The paper entitled “On Optimal Cell Flashing for Reducing Delay and Saving Energy in Wireless Networks” has been accepted for Energies.

✓ Sep. 2016. The paper entitled “Robust Cooperative Sensing using ON/OFF Signaling over Imperfect Reporting Channels” has been accepted for IEEE Transactions on Industrial Informatics (TII).

✓ July. 2016. The paper entitled “Deep Neural Network Based Demand Side Short Term Load Forecasting” has been accepted for IEEE Int’l Conf. Smart Grid Comm 2016.

✓ June 2016. Prof. Hongseok Kim gave a talk “ESS and Microgrid Optimization” at Doosan Technical Forum.

✓ June 2016. Prof. Hongseok Kim gave a talk “Artificial Intelligence and Electric Load Forecasting” at Big Data and Power/IT Workshop.

✓ June 2016. The paper “Optimal Scheduling of Energy Storage System for Self-Sustainable Base Station Operation Considering Battery Wear-out Cost” has been accepted for Energies.

✓ Apr. 2016. Prof. Hongseok Kim serves on the TPC of IEEE Globecom 2016.

✓ Apr. 2016. Prof. Hongseok Kim gave a talk “Energy IoT” on Future Communications Technologies Workshop.

✓ Mar. 2016. The paper entitled “RCS-based Target Recognition with Real FMCW Radar Implementation” has been accepted for Microwave and Optical Technologies Letters.

✓ Jan. 2016. The paper entitled “Self-Organizing Spectrum Breathing and User Association for Load Balancing in Wireless Networks ” has been accepted for IEEE Trans. on Wireless Communications (TWC).

✓ Sep. 2015. The paper entitled “Data-Driven Baseline Estimation of Residential Buildings for Demand Response” has been published in Energies 2015.

✓ Sep. 2015. The paper entitled “BRUTE: Energy-efficient User Association in Cellular Networks from Population Game Perspective” has been accepted for IEEE Trans. on Wireless Communications (TWC).

✓ Sept. 2015. Prof. Hongseok Kim became an Associate Professor.

✓ Apr. 2015. ISRC has launched with Nice Lab.

✓ Nov. 2014. Yohwan Choi Ph.D. student became a recipient of Ji-kyung Scholarship. Congratulations to Yohwan!

✓ Oct. 2014. The paper “Green Small Cell Operation Using Belief Propagation in Wireless Networks” has been accepted for IEEE Globecom Workshop on Heterogeneous and Small Cell Networks Workshop 2014.

✓ Oct. 2014. The paper entitled “A QoE-aware Proportional Fair Resource Allocation for Multi-cell OFDMA Networks ” has been accepted for IEEE Communications Letters.

✓ Aug. 2014. The paper “QoE-aware Scheduling for Sigmoid Optimization in Wireless Networks ” has been accepted for IEEE Communications Letters.

✓ July. 2014. The paper “A Framework for Baseline Load Estimation in Demand Response: Data Mining Approach” has been accepted for IEEE Smart Grid Comm 2014.

✓ Jan. 2014. Prof. Hongseok Kim serves on the Editor of IEIE Journal of Telecommunications.

✓ Jan. 2014. The paper entitled “Unlimited Cooperative Sensing with Energy Detection for Cognitive Radio” has been accepted for Journal of Communications and Networking.

✓ Nov. 2013. Prof. Hongseok Kim serves on the TPC of IEEE Globecom 2014

✓ Sep. 2013. Prof. Hongseok Kim serves on the TPC of IEEE INFOCOM Workshop on Green Cognitive Communications and Computing Networks (GCCCN) 2014

✓ June. 2013. The paper “Delaunay Triangulation Based Green Base Station Operation for Self Organizing Network” has been accepted for IEEE GreenCom 2013.

✓ Mar. 2013. Prof. Hongseok Kim serves on the TPC of APCC 2013.

✓ Mar. 2013. The paper entitled “Energy-efficient User Association in Cellular Networks: A Population Game Approach” has been accepted for WiOPT 2013.

✓ Feb. 2013. The paper “Spectrum Breathing and User Association for Load Balancing in Wireless Networks” has been accepted for IEEE ICC Small Cell Workshop 2013.

✓ Sep. 2012. The paper “Iterative Resource Pooling for Bandwidth Allocation in TDM-PON: Algorithm, Convergence and Experimental Evaluation” has been published in Photonic Network Communications.

✓ Sep. 2012. Prof. Hongseok Kim serves on the TPC of IEEE ICC 2013 SAC.

✓ Sep. 2012. Prof. Hongseok Kim serves on the TPC of IEEE Globecom 2013 WC.

✓ June 2012. The paper entitled “SeDAX: A Secure, Scalable, Resilient Platform for Smart Grid Communications” has been published in IEEE Journal of Selected Area in Communications (JSAC).

✓ May. 2012. The paper entitled “A Pricing-based Decentralized Spectrum Access Control in Cognitive Radio Networks” has been accepted for IEEE/ACM Transactions on Networking (TON).

✓ Feb. 2012. The paper entitled “Distributed Alpha-Optimal User Association and Cell Load Balancing in Wireless Networks” has been published in IEEE/ACM Transactions on Networking (TON).

✓ Sep. 2011. The paper entitled “Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks” has been published IEEE Journal on Selected Areas in Communications (JSAC).