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ORCID11th SmartGridComm 2020: Tempe, AZ, USA
- 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020, Tempe, AZ, USA, November 11-13, 2020. IEEE 2020, ISBN 978-1-7281-6127-3
- Michael Blonsky
, Killian McKenna, Tyrone Vincent, Adarsh Nagarajan:
Time-of-use and Demand Charge Battery Controller Using Stochastic Model Predictive Control. 1-6 - Leonard Fisser, Hanko Ipach, Andreas Timm-Giel, Christian Becker:
Evaluation of LTE based Communication for Fast State Estimation in Low Voltage Grids. 1-7 - Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin:
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. 1-7 - Ramin Moslemi, Mohammad Reza Davoodi, Javad Mohammadpour Velni:
A Distributed Approach for Estimation of Information Matrix in Smart Grids and its Application for Anomaly Detection. 1-7 - Mohamadou B. Bah, Rabab Haider, Venkatesh Venkataramanan, Anuradha M. Annaswamy:
Toward a Service-Oriented Broker Architecture for the Distribution Grid. 1-6 - Yudi Huang, Ting He, Nilanjan Ray Chaudhuri, Thomas F. La Porta:
Power Grid State Estimation under General Cyber-Physical Attacks. 1-6 - Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun:
SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection. 1-6 - Salman Sadiq Shuvo, Yasin Yilmaz:
Predictive Maintenance for Increasing EV Charging Load in Distribution Power System. 1-6 - Sergio A. Dorado-Rojas, Marcelo de Castro Fernandes, Luigi Vanfretti:
Synthetic Training Data Generation for ML-based Small-Signal Stability Assessment. 1-7 - Arman Ghasemi, Amin Shojaeighadikolaei, Kailani R. Jones, Morteza Hashemi, Alexandru G. Bardas, Reza Ahmadi:
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids. 1-6 - Yunchuan Liu, Amir Ghasemkhani, Lei Yang, Jun Zhao, Junshan Zhang, Vijay Vittal:
Seasonal Self-evolving Neural Networks Based Short-term Wind Farm Generation Forecast. 1-6 - Hani Mavalizadeh, Luis A. Duffaut Espinosa, Mads R. Almassalkhi:
Decentralized Frequency Control using Packet-based Energy Coordination*. 1-7 - Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés:
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. 1-7 - Qiyue Li, Yuxing Deng, Wei Sun, Weitao Li:
Communication and Computation Resource Allocation and Offloading for Edge Intelligence Enabled Fault Detection System in Smart Grid. 1-7 - Shutang You, Yinfeng Zhao, Mirka Mandich, Yi Cui, Hongyu Li, Huangqing Xiao, Summer Fabus, Yu Su, Yilu Liu, Haoyu Yuan, Huaiguang Jiang, Jin Tan, Yingchen Zhang:
A Review on Artificial Intelligence for Grid Stability Assessment. 1-6 - Manish Kumar Singh, Sarthak Gupta, Vassilis Kekatos, Guido Cavraro, Andrey Bernstein:
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks. 1-6 - ChongAih Hau, Binbin Chen, Ziling Zhou, William G. Temple:
Accurate Disaggregation of Chiller Plant Loads Using Noisy Magnetic Field Measurements. 1-7 - Atul Bohara, Jordi Ros-Giralt, Ghada Elbez, Alfonso Valdes, Klara Nahrstedt, William H. Sanders:
ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations. 1-7 - Yajing Liu, April Sagan, Andrey Bernstein, Rui Yang, Xinyang Zhou, Yingchen Zhang:
Matrix Completion Using Alternating Minimization for Distribution System State Estimation. 1-6 - Ciaran M. Roberts, José Daniel Lara, Rodrigo Henriquez-Auba, Bala Kameshwar Poolla, Duncan S. Callaway:
Grid-Coupled Dynamic Response of Battery-Driven Voltage Source Converters. 1-6 - Dimcho Karakashev, Sergey Gorbunov, Srinivasan Keshav:
Making Renewable Energy Certificates Efficient, Trustworthy, and Anonymous. 1-7 - V. S. Narasimham Arava, Luigi Vanfretti:
Decision Trees for Voltage Stability Assessment. 1-7 - Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, Ayse K. Coskun:
Coordinated Demand Response By Data Centers Using Inverse Optimization. 1-7 - Marcell Fehér, Niloofar Yazdani, Diego F. Aranha, Daniel E. Lucani, Morten Tranberg Hansen, Flemming Enevold Vester:
Side Channel Security of Smart Meter Data Compression Techniques. 1-6 - Shamsun Nahar Edib, Yuzhang Lin, Vinod Vokkarane, Feng Qiu, Rui Yao, Dongbo Zhao:
PMU and Communication Infrastructure Restoration for Post-Attack Observability Recovery of Power Grids. 1-6 - Partha P. Biswas, Yuan Li, Heng Chuan Tan, Daisuke Mashima, Binbin Chen:
An Attack-Trace Generating Toolchain for Cybersecurity Study of IEC61850 based Substations. 1-7 - Rabayet Sadnan, Anamika Dubey:
Real-Time Distributed Control of Smart Inverters for Network-level Optimization. 1-6 - Jiaming Li, Meng Yue, Yue Zhao, Guang Lin:
Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. 1-6 - Jianhua Zhang, Jeff Daily, Ryan A. Mast, Bryan Palmintier, Dheepak Krishnamurthy, Tarek Elgindy, Anthony Florita, Bri-Mathias S. Hodge:
Development of HELICS-based High-Performance Cyber-Physical Co-simulation Framework for Distributed Energy Resources Applications. 1-5 - Yuan Liao, Jiangbiao He:
Optimal Smart Grid Operation and Control Enhancement by Edge Computing. 1-6 - Peyman Tehrani, Marco Levorato:
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems. 1-6 - Gaurav S. Wagh, Sumita Mishra:
A cyber-resilient privacy framework for the smart grid with dynamic billing capabilities. 1-6 - Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven, Wesley B. Jones:
Restoring Distribution System Under Renewable Uncertainty Using Reinforcement Learning. 1-6 - Adetola Adeniran, Md. Abul Hasnat, Minoo Hosseinzadeh, Hana Khamfroush, Mahshid Rahnamay-Naeini:
Edge Layer Design and Optimization for Smart Grids. 1-6 - Charalampos Rotsos, Angelos K. Marnerides, Abubakr Magzoub, Anish Jindal, Paul McCherry, Martin C. Bor, John Edward Vidler, David Hutchison:
Ukko: Resilient DRES management for Ancillary Services using 5G service orchestration. 1-6 - Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Information Theoretic Data Injection Attacks with Sparsity Constraints. 1-6 - Ce Xu, Hossein Khazaei, Yue Zhao:
An Incentive Compatible Market Mechanism for Integrating Demand Response into Power Systems. 1-6 - Yanfeng Qu, Gong Chen, Xin Liu, Jiaqi Yan, Bo Chen, Dong Jin:
Cyber-Resilience Enhancement of PMU Networks Using Software-Defined Networking. 1-7 - Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Deep Policy Gradient for Reactive Power Control in Distribution Systems. 1-6 - Ignacio Losada Carreno, Raksha Ramakrishna, Anna Scaglione, Daniel B. Arnold, Ciaran M. Roberts, Sy-Toan Ngo, Sean Peisert, David Pinney:
SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool. 1-6 - Ludovic Mouline, Maxime Cordy, Yves Le Traon:
Load approximation for uncertain topologies in the low-voltage grid. 1-6 - Rongxin Yin, Douglas R. Black, Bin Wang:
Characteristics of Electric Vehicle Charging Sessions and its Benefits in Managing Peak Demands of a Commercial Parking Garage. 1-7 - Diego Kiedanski, Ariel Orda, Daniel Kofman:
Combflex: a linear combinatorial auction for local energy markets. 1-7 - Guoming Tang, Yi Wang, Hongyu Lu:
ShiftGuard: Towards Reliable 5G Network by Optimal Backup Power Allocation. 1-6 - Muhammad M. Roomi, Partha P. Biswas, Daisuke Mashima, Yuting Fan, Ee-Chien Chang:
False Data Injection Cyber Range of Modernized Substation System. 1-7 - Jie Shi, Brandon Foggo, Xianghao Kong, Yuanbin Cheng, Nanpeng Yu, Koji Yamashita:
Online Event Detection in Synchrophasor Data with Graph Signal Processing. 1-7 - Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks. 1-6 - Michael J. Rausch, William H. Sanders:
Stacked Metamodels for Sensitivity Analysis and Uncertainty Quantification of AMI Models. 1-7 - Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis:
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. 1-7 - Kylie McClanahan, Qinghua Li:
Automatically Locating Mitigation Information for Security Vulnerabilities. 1-7 - Ahmed S. Zamzam, Kyri Baker:
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. 1-6 - Chen Liang, Fengyu Zhou, Alessandro Zocca, Steven H. Low, Adam Wierman:
Mitigating Cascading Failures via Local Responses. 1-7 - Yang You, Tobias J. Oechtering:
Online Energy Management Strategy Design for Smart Meter Privacy Against FHMM-based NILM. 1-6 - Pablo Macedo, Shailesh Wasti, Vahid Disfani:
Distributed Inter-Area Oscillation Damping Control via Dynamic Average Consensus Algorithm. 1-6 - Zhijie Nie Anshuman, K. Sadanandan Sajan, Anurag Srivastava:
ML-based Data Anomaly Mitigation and Cyber-Power Transmission Resiliency Analysis. 1-6 - Jiazuo Hou, Shunbo Lei, Wenqian Yin, Chaoyi Peng, Yunhe Hou:
Optimal Cyber Defense Strategy of High-Voltage DC Systems for Frequency Deviation Mitigation. 1-5 - Joash Lee, Wenbo Wang, Dusit Niyato:
Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids. 1-6 - Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Power System State Estimation Using Gauss-Newton Unrolled Neural Networks with Trainable Priors. 1-6 - Onat Güngör, Jake Garnier, Tajana Simunic Rosing, Baris Aksanli:
LENARD: Lightweight ENsemble LeARner for MeDium-term Electricity Consumption Prediction. 1-6 - Dimitrios Sikeridis, Michael Devetsikiotis:
Joint Capacity Modeling for Electric Vehicles in V2I-enabled Wireless Charging Highways. 1-6 - Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
On the Impact of Side Information on Smart Meter Privacy-Preserving Methods. 1-6 - Akansha Singh Bansal, David E. Irwin:
Exploiting Satellite Data for Solar Performance Modeling. 1-7 - Siwu Liu, Chenxiao Xu, Ying Liu, Dimitrios Katramatos, Shinjae Yoo:
Electricity Load Forecasting with Collective Echo State Networks. 1-6 - Jiaman Wu, Chenye Wu:
On the Double Auction Mechanism Design for Electricity Market. 1-6 - Yu Ishimaki, Shameek Bhattacharjee, Hayato Yamana, Sajal K. Das:
Towards Privacy-preserving Anomaly-based Attack Detection against Data Falsification in Smart Grid. 1-6 - Ezzeldin Shereen, György Dán:
Network-aware Mitigation of Undetectable PMU Time Synchronization Attacks. 1-7 - Joseph Antoun, Mohammad Ekramul Kabir, Ribal Atallah, Bassam Moussa, Mohsen Ghafouri, Chadi Assi:
Impact Analysis of EV Preconditioning on the Residential Distribution Network. 1-6 - Gabe Fierro, Keith Moffat, Jasper Pakshong, Alexandra von Meier:
An Extensible Software and Communication Platform for Distributed Energy Resource Management. 1-6 - Chin-Yao Chang, Xinyang Zhou, Andrey Bernstein:
Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids. 1-6 - Debneil Saha Roy:
Household Level Electricity Load Forecasting Using Echo State Network. 1-6 - Sarthak Gupta, Vassilis Kekatos, Ming Jin:
Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints. 1-6 - Tianyu Zhao, Xiang Pan, Minghua Chen, Andreas Venzke, Steven H. Low:
DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility. 1-6 - Thomas Navidi, Chloe Leblanc, Abbas El Gamal, Ram Rajagopal:
DER Information Unaware Coordination via Day-ahead Dynamic Power Bounds. 1-6 - Diego Kiedanski, Daniel Kofman, Patrick Maillé, José Horta:
Misalignments of objectives in demand response programs: a look at local energy markets. 1-7 - Mingjian Tuo, Arun Venkatesh Ramesh, Xingpeng Li:
Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations. 1-6 - Kaustav Chatterjee, Nilanjan Ray Chaudhuri:
Distributed Anomaly Detection and PMU Data Recovery in a Fog-computing-WAMS Paradigm. 1-6 - Brida V. Mbuwir, Kaveh Paridari, Fred Spiessens, Lars Nordström, Geert Deconinck:
Transfer learning for operational planning of batteries in commercial buildings. 1-6 - Hao Zhou, Melike Erol-Kantarci:
Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach. 1-7 - Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin:
Contract-based Time-of-use Pricing for Energy Storage Investment. 1-7 - Ewa Piatkowska, Catalin Gavriluta, Paul Smith, Filip Pröstl Andrén:
Online Reasoning about the Root Causes of Software Rollout Failures in the Smart Grid. 1-7 - Shamina Hossain-McKenzie, Eric D. Vugrin, Katherine R. Davis:
Enabling Online, Dynamic Remedial Action Schemes by Reducing the Corrective Control Search Space. 1-6 - Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese:
Personalized Demand Response via Shape-Constrained Online Learning. 1-6 - Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury:
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. 1-6 - Qiyue Li, Haochen Tang, Wei Sun, Weitao Li, Xiaobing Xu:
An Optimal Wireless Resource Allocation of Machine-Type Communications in the 5G Network for Situation Awareness of Active Distribution Network. 1-7 - Boqi Xie, Dongbo Zhao, Tianqi Hong, Alex Q. Huang, Zhicheng Guo, Yuzhang Lin:
Dynamic State Estimation Based Monitoring of High Frequency Transformer. 1-6 - Abel O. Gomez Rivera, Deepak K. Tosh, Jaime C. Acosta, Laurent Njilla:
Achieving Sensor Identification and Data Flow Integrity in Critical Cyber-Physical Infrastructures. 1-6 - Monica Hernandez Cedillo, Hongjian Sun:
Data-driven Pricing and Control for Low Carbon V2G Charging Station with Balancing Services. 1-6 - Awadelrahman M. A. Ahmed, Yan Zhang, Frank Eliassen:
Generative Adversarial Networks and Transfer Learning for Non-Intrusive Load Monitoring in Smart Grids. 1-7 - Xinyang Zhou, Yue Chen, Zhiyuan Liu, Changhong Zhao, Lijun Chen:
Multi-Level Optimal Power Flow Solver in Large Distribution Networks. 1-6 - Zhongxia Zhang, Meng Wu:
Real-time Locational Marginal Price Forecasting Using Generative Adversarial Network. 1-6 - Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang:
Quantifying Load Uncertainty Using Real Smart Meter Data. 1-6 - Shuchismita Biswas, Rounak Meyur, Virgilio A. Centeno:
DeVLearn: A Deep Visual Learning Framework for Determining the Location of Temporary Faults in Power Systems. 1-6 - Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung:
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach. 1-6
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