Time | Location | |||
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LT2 | TT1 | TT2-3 | TT4-5 | |
Tuesday, October 25 |
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08:30 | Registration (Building 1, Level 3 Foyer, via Lift Lobby C) | |||
09:00-12:30 | T1: Tutorial: AI-driven Decarbonization for Energy Systems | |||
14:00-17:30 | T2: Tutorial: IoT-based Load-Altering Attacks Against Power Grids | T3: Tutorial: Using Global Wireless Standard-based Networks to Modernize the Communication Infrastructure used by Grid Operators | T4: Tutorial: Synchro-Waveforms: A New Frontier in Advanced Smart Grid Sensing and Data Analytic | |
17:30-18:30 | TM: TC SmartGridComm meeting | |||
Wednesday, October 26 |
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08:30 | Registration (Building 1, Level 3 Foyer, via Lift Lobby C) | |||
09:00-09:30 | O1: Opening address | |||
09:30-10:30 | K1: Keynote Speech and IEEE SmartGridComm TC Award Presentation: Frontiers in Smart Grid Data Availability: From Synchro-Phasors to Synchro-Waveforms | |||
11:00-12:50 | SP1: Cyber-Security for Distributed Energy Resources | DAC1: Machine Learning and Optimization in Power Systems | ||
14:00-15:00 | K2: Keynote Speech: How Open Source is Going to Facilitate the Energy Transformation | |||
15:30-17:20 | CO1: Energy Management and Trading | CN1: Wireless Communications and Networking for Smart Grids | ||
17:30-19:00 | P1: Panel: Beyond 5G/6G Communication Technologies for Sustainable Industries | |||
Thursday, October 27 |
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08:30 | Registration (Building 1, Level 3 Foyer, via Lift Lobby C) | |||
09:00-10:00 | K3: Keynote Speech: AI-Enabled Smart Grid Communications and Transactive Energy Systems | |||
10:30-12:00 | CO2: Electrical Vehicle Charging | CN2: Network Design and Resiliency for Smart Grids | ||
12:00-12:40 | ||||
14:00-15:00 | K4: Keynote Speech: Machine Learning Based Security Solutions for Smart Grids: Challenges and Solutions | |||
15:00-15:30 | W1: Workshop: Data Sharing in Smart Grids | |||
15:30-17:00 | SP2: Vulnerabilities and Attack Mitigations in Smart Grids | DAC2: Modeling and Learning in Electric Vehicle Charging | ||
17:00-17:20 | ||||
17:20-18:00 | ||||
Friday, October 28 |
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08:30 | Registration (Building 1, Level 3 Foyer, via Lift Lobby C) | |||
09:00-10:00 | K5: Keynote Speech: Retail Electricity Markets and DER-hungry Grid Edge | |||
10:30-12:00 | SS: Interplay Between Communication and Computation in Wireless-empowered Smart Grids | CO3: Operation and Control of Microgrids | W2: Workshop: Intelligence and Security for Smart Energy Systems | |
12:00-12:20 | ||||
14:00-15:30 | SP3: Attack Detection and Localization in Smart Grids | CO4: Scheduling and Optimization in Smart Grids | W3: Workshop: Cybersecurity of Electric Vehicle Charging and Smart Grid Resources | |
15:30-15:50 | ||||
15:50-16:30 | ||||
16:30-17:30 | SP4: Cyber Security, Risk Management and Digital Twins | DAC3: Data Analysis and Computation in Smart Metering | ||
17:30-18:00 |
Tuesday, October 25 9:00 - 12:30
T1: Tutorial: AI-driven Decarbonization for Energy Systems
Room: TT4-5
Organizers:
Shengrong Bu, Brock University, Canada
Dawei Qiu, Imperial College, UK
Zhu Han, University of Houston, TX, USA
Decarbonization of energy systems is urgently needed to help achieve the Paris climate agreement goals. Decarbonizing our current electricity generation is currently altering the fundamental structure of system operation and planning by increasing the penetration of renewable energy, and the electrification of transportation and efficient heating facilities will make the situation even more complex by significantly increasing electricity demand. Boosting the expansion of renewable energy resources (RES) could be effective in driving the world's energy revolution towards a low-carbon future. However, a significant increase in flexibility is needed to balance the effects of less controllable output of RES. This tutorial will first provide an overview of various approaches for energy systems decarbonization. It will then examine two types of decarbonization approaches--electric vehicles (EVs) and peer-to-peer (P2P) energy trading--related to those challenges and explore how state-of-the-art deep reinforcement learning and big data analytic tools could be applied to meet these challenges. The tutorial will explain the multiple inter-dependent services offered by EVs, explore the challenges of EVs to make their routing and scheduling decisions in a coupled power-transportation network, and demonstrate how hierarchical and hybrid multi-agent reinforcement learning methods can be employed to address the challenges. The tutorial will also examine aspects of P2P energy trading, such as how it can be combined with multi-energy converters to further improve the flexibility of the power systems, which is critical for decarbonization in microgrids.
Tuesday, October 25 14:00 - 17:30
T2: Tutorial: IoT-based Load-Altering Attacks Against Power Grids
Room: TT1
Organizers:
Subhash Lakshminarayana, University of Warwick, Coventry, UK
Charalambos Konstantinou, KAUST, Thuwal, KSA
The growing integration of Internet-of-Things (IoT) high-wattage consumer appliances including electric vehicles and heating, ventilation, and air conditioning (HVAC) systems can pose a severe vulnerability to the electric grid's operations. An abrupt manipulation of power grid demand by large-scale botnet-type attacks against IoT-smart-home appliances can severely affect the balance between the power supply and demand, and lead to unsafe operation of the grid. Such load-altering attacks (LAAs) can lead to high operational costs (at the grid side), unsafe frequency excursions, and even severe frequency and voltage stability issues that can further cause generator trips and cascading failures. The information required to execute such attacks can be gathered by publicly available information, such as the charging patterns of plug-in-electric vehicles and the information on the power grid infrastructure.
The tutorial will present a comprehensive overview of the threat of LAAs in power grids. It will specifically focus on (1) the theoretical foundations for analysing a high-impact least-effort LAA targeted at high-wattage IoT-based devices, (2) the demonstration of how LAAs can lead to realistic cyber-attacks capable of identifying the most vulnerable locations and amount of load needed to be compromised in order to cause unsafe frequency fluctuations in a (low-inertia) power system, (3) application of machine learning (ML) techniques to detect and localise LAAs, (4) the presentation of simulation-based experiments to demonstrate the effects of the formulated LAA in future power systems with a high penetration of renewable energy resources. Finally, future development of LAAs in the power grid and other cyber-physical systems will be identified.
T3: Tutorial: Using Global Wireless Standard-based Networks to Modernize the Communication Infrastructure used by Grid Operators
Room: TT2-3
Organizers:
Larry J. Horner, Intel Principal Engineer, Senior Solution Architect
The Smart grid transformation is intersecting with a transformation in the connectivity where in some jurisdictions Private Network are being deployed with Cellular technology. Existing mesh networks and WIFI will coexist with the introduction of 4G and 5G technologies. Grid operators have started early trials and deployments, in this tutorial we will discuss some current efforts and touch on the challenges ahead based on industry feedback.
T4: Tutorial: Synchro-Waveforms: A New Frontier in Advanced Smart Grid Sensing and Data Analytic
Room: TT4-5
Organizers:
Hamed Mohsenian-Rad, University of California, Riverside, CA, USA
Alireza Shahsavari, San Diego Gas and Electric, San Diego, CA, USA
Waveform measurement units (WMUs) are an emerging class of smart grid synchronized measurement technologies that provide synchronized measurements for voltage and current waveforms. Since WMUs provide synchronized waveform measurements, as opposed to synchronized phasor measurements that are provided by phasor measurement units (PMUs), the data from WMUs is much more granular than the data from PMUs. This calls for fundamentally new methodologies to analyze WMU data. In this tutorial, we cover the advancements in this field, in various areas, including sensor technologies, data collection, data analytics, and use cases. The tutorial has three parts: 1) Technology and Real-World Data; 2) Data Analytics Methods; and 3) Applications and Use Cases. The speakers are among the pioneers in installing and testing PMUs and WMUs at power distribution networks. The discussions in this Tutorial are inspired by their experiences in working with several terabytes of sychro-phasor and synchro-waveform data.
Tuesday, October 25 17:30 - 18:30
TM: TC SmartGridComm Meeting
Room: TT2-3
Chair: Andrea Tonello (IEEE TG-SGC Chair)
Wednesday, October 26 9:00 - 9:30
O1: Opening address
Room: LT2
Chair: Binbin Chen (Singapore University of Technology and Design, Singapore)
Wednesday, October 26 9:30 - 10:30
K1: Keynote Speech and IEEE SmartGridComm TC Award Presentation: Frontiers in Smart Grid Data Availability: From Synchro-Phasors to Synchro-Waveforms
Room: LT2
Speaker: Prof. Hamed Mohsenian Rad (UC Riverside, USA)
Chair: Sumei Sun (Institute for Infocomm Research, Singapore)
Wednesday, October 26 11:00 - 12:50
DAC1: Machine Learning and Optimization in Power Systems
Room: TT2-3
Chair: I Safak Bayram (University of Strathclyde, United Kingdom)
Detecting Cyber Attacks in Smart Grids with Massive Unlabeled Sensing Data
Hanyu Zeng, Zhen Wei Ng, Pengfei Zhou, Xin Lou, David Yau and Marianne Winslett
Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks
Ognjen Kundacina, Mirsad Cosovic, Dragiša Mišković and Dejan Vukobratović
A Neural Combinatorial Optimization Algorithm for Unit Commitment in AC Power Systems
Shahab Bahrami, Christine Chen and Vincent W.S. Wong
Learning Cascading Failure Interactions by Deep Convolutional Generative Adversarial Network
Shuchen Huang and Junjian Qi
Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks
Wenyu Wang, Nanpeng Yu and Yue Zhao
SP1: Cyber-Security for Distributed Energy Resources
Room: LT2
Chair: Ertem Esiner (Advanced Digital Sciences Center, Singapore)
Invited Paper: Real-Time Cyber-Physical Analysis of Distribution Systems Using Digital Twins
Jairo Giraldo, Mohammed Masum Siraj Khan and Masood Parvania
Identification of Intraday False Data Injection Attack on DER Dispatch Signals
Jip Kim, Siddharth Bhela, James Anderson and Gil Zussman
Vulnerability of Distributed Inverter VAR Control in PV Distributed Energy System
Bo Tu, Wen-Tai Li and Chau Yuen
Ensemble and Transfer Adversarial Attack on Smart Grid Demand-Response Mechanisms
Guihai Zhang and Biplab Sikdar
Blockchain-Integrated Resilient Distributed Energy Resources Management System
Seerin Ahmad, BoHyun Ahn, Taesic Kim, Jinchun Choi, Myungsuk Chae, Dongjun Han and Dong Jun Won
Wednesday, October 26 14:00 - 15:00
K2: Keynote Speech: How Open Source is Going to Facilitate the Energy Transformation
Room: LT2
Speaker: Prof. Antonello Monti (RWTH Aachen University, Germany)
Chair: Vincent W.S. Wong (University of British Columbia, Canada)
Wednesday, October 26 15:30 - 17:20
CN1: Wireless Communications and Networking for Smart Grids
Room: TT2-3
Chair: Utku Tefek (Advanced Digital Sciences Center, Singapore)
A Wireless-Assisted Hierarchical Framework to Accommodate Mobile Energy Resources
Pudong Ge, Cesare Caputo, Fei Teng, Michel-Alexandre Cardin and Anna Korre
A real-time cyber-physical testbed to assess protection system traffic over 5G networks
Charles Mawutor Adrah, Mohammad Khalili Katoulaei, Tesfaye Amare Zerihun and David Palma
Smart Grid Critical Traffic Routing and Link Scheduling in 5G IAB Networks
Mohand Ouamer Nait Belaid, Vincent Audebert, Boris Deneuville and Rami Langar
Resource Allocation for Intelligent Reflecting Surface-Assisted Cooperative NOMA-URLLC Networks in Smart Grid
Junjie Yang, Geng Liu, Jie Ren, Ying Liu, Liang Yao, Yuchen Zhou and Jian Chen
Design of a 5G Network Slicing Architecture for Mixed-Critical Services in Cellular Energy Systems
Dennis Overbeck, Fabian Kurtz, Stefan Böcker and Christian Wietfeld
Wednesday, October 26 15:30 - 17:20
CO1: Energy Management and Trading
Room: LT2
Chair: Jip Kim (Columbia University, United States)
PEMT-CoSim: A Co-Simulation Platform for Packetized Energy Management and Trading in Distributed Energy Systems
Yuanliang Li, Luyang Hou, Hang Du, Jun Yan, Yuhong Liu, Mohsen Ghafouri and Peng Zhang
An Optimization Framework for Effective Flexibility Management for Prosumers
Thanasis G. Papaioannou and George Stamoulis
Optimal Dynamic Multi-source Multi-community Power Schedule and Trading
Olamide Jogunola, Bamidele Adebisi, Haris Gačanin, Mohammad Hammoudeh and Guan Gui
Projection-aware Deep Neural Network for DC Optimal Power Flow Without Constraint Violations
Minsoo Kim and Hongseok Kim
Cooperative Carbon Emission Trading: A Coalition Game Approach
Qisheng Huang, Yunshu Liu, Peng Sun, Junling Li and Jin Xu
Wednesday, October 26 17:30 - 19:00
P1: Panel: Beyond 5G/6G Communication Technologies for Sustainable Industries
Room: LT2
Structure:
Moderator: Haris Gačanin, 6GEM
Panelist 1 Aydin Sezgin, RUB
Panelist 2 Sumei Sun, I2R
Panelist 3 Iwao Hosako, NICT
Panelist 4 Dejan Vukobratovic, University of Novi Sad
Chair: Binbin Chen (Singapore University of Technology and Design, Singapore)
Thursday, October 27 9:00 - 10:00
K3: Keynote Speech: AI-Enabled Smart Grid Communications and Transactive Energy Systems
Room: LT2
Speaker: Prof. Melike Erol-Kantarci (University of Ottawa, Canada)
Chair: Daisuke Mashima (Advanced Digital Sciences Center, Singapore)
Thursday, October 27 10:30 - 12:40
CN2: Network Design and Resiliency for Smart Grids
Room: TT2-3
Chair: Thanasis G. Papaioannou (Athens University of Economics and Business, Greece)
Invited Paper: A Framework to Evaluate PMU Networks for Resiliency Under Network Failure Conditions
Reuben Samson Raj and Dong Jin
A Digital Twin integrated Cyber-physical systems for Community Energy Trading
Yakubu Tsado, Olamide Jogunola, Femi Olatunbosun Olatunji and Bamidele Adebisi
OpenConduit: A Tool for Recreating Power System Communication Networks Automatically
Amarachi Umunnakwe, Patrick Wlazlo, Abhijeet Sahu, Julian Velasquez, Katherine Davis, Ana E Goulart and Saman Zonouz
Decentralized Load Management in HAN: An IoT-Assisted Approach
Jagnyashini Debadarshini, Sudipta Saha and Subhransu Samantaray
iCAD: information-Centric network Architecture for DDoS Protection in the Smart Grid
Sharad Shrestha, George Torres and Satyajayant Misra
Timing Analysis of GOOSE in a Real-World Substation
Juan C. Lozano, Keerthi Koneru, John Castellanos and Alvaro Cardenas
Thursday, October 27 10:30 - 12:00
CO2: Electrical Vehicle Charging
Room: LT2
Chair: Shahab Bahrami (University of British Columbia, Canada)
Time-of-Use-Aware Priority-Based Multi-Mode Online Charging Scheme for EV Charging Stations
Md Navid Bin Anwar, Rukhsana Ruby, Yijun Cheng and Jianping Pan
A Deployable Online Optimization Framework for EV Smart Charging with Real-World Test Cases
Nathaniel Tucker and Mahnoosh Alizadeh
Battery Charging Strategies Design for Battery Swapping Stations: A Game Theoretic Approach
Huanyu Yan, Chenxi Sun, Huanxin Liao and Xiaoying Tang
Carbon-Aware EV Charging
Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi and Yize Chen
Thursday, October 27 14:00 - 15:00
K4: Keynote Speech: Machine Learning Based Security Solutions for Smart Grids: Challenges and Solutions
Room: LT2
Speaker: Prof. Biplab Sikdar (National University of Singapore, Singapore)
Chair: David Nicol (University of Illinois at Urbana-Champaign, United States)
Thursday, October 27 15:30 - 17:00
DAC2: Modeling and Learning in Electric Vehicle Charging
Room: TT2-3
Chair: Dragiša Mišković (University of Novi Sad, Serbia)
Probabilistic Capacity Planning Framework for Electric Vehicle Charging Stations with Overstay
I Safak Bayram
Modelling Second-Life Batteries as the Energy Storage System for EV Charging Stations
Kiraseya Preusser, Wen Wei and Anke Schmeink
Feasibility of completely electrified two-way car sharing
Leo Strobel and Marco Pruckner
Pricing and Charging Scheduling for Cooperative Electric Vehicle Charging Stations via Deep Reinforcement Learning
Jie Liu, Xiaoying Tang and Shuoyao Wang
Thursday, October 27 15:30 - 17:20
SP2: Vulnerabilities and Attack Mitigations in Smart Grids
Room: LT2
Chair: Fei Teng (Imperial College London, United Kingdom)
Online Attack-aware Risk Management for PMSG-based Wind Farm Depending on System Strength Evaluation
Hang Du, Jun Yan, Mohsen Ghafouri, Rawad Zgheib and Mourad Debbabi
Analysis of Message Authentication Solutions for IEC 61850 in Substation Automation Systems
Utku Tefek, Ertem Esiner, Daisuke Mashima and Yih-Chun Hu
Smart Grid Network Flows Best Practices Checker
David Nicol, Emily Belovich and Atul Bohara
Mitigation of Cyberattacks through Battery Storage for Stable Microgrid Operation
Ioannis Zografopoulos, Panagiotis Karamichailidis, Andreas T. Procopiou, Fei Teng, George C. Konstantopoulos and Charalambos Konstantinou
Connectivity Preserving Anonymization of Smart Grid Network Configurations
David Nicol
Thursday, October 27 15:00 - 18:00
W1: Workshop: Data Sharing in Smart Grids
Room: TT4-5
Keynote: Data Markets in Energy Forecasting
Pierre Pinson (Imperial College London, United Kingdom)
Prediction Markets as a Data Aggregation Mechanism
Paul Cuffe (University College Dublin, Ireland)
Market-oriented Data Valuation in Smart Grids
Jianxiao Wang (Peking University, China)
Privacy-Preserving Probabilistic Forecasting in Smart Grids
Jean-François Toubeau (University of Mons, Belgium)
Keynote: Data Sharing: Value, Method and Mechanism
Qinglai Guo (Tsinghua University, China)
Panel: Discussion between the expert research panel and the audience about the current status quo of data sharing in smart grids and the challenges to their implementation, as well as a realistic assessment of their potential going forward
Jean-François Toubeau (University of Mons, Belgium)
Friday, October 28 9:00 - 10:00
K5: Keynote Speech: Retail Electricity Markets and DER-hungry Grid Edge
Room: LT2
Speaker: Dr. Anuradha Annaswamy (Massachusetts Institute of Technology, USA)
Chair: Dejan Vukobratović (University of Novi Sad, Serbia)
Friday, October 28 10:30 - 12:00
CO3: Operation and Control of Microgrids
Room: TT2-3
Chair: Sebastian Köhler (University of Oxford, United Kingdom)
A Hybrid Submodular Optimization Approach to Controlled Islanding with Heterogeneous Loads
Radha Poovendran, Dinuka Sahabandu, Andrew Clark and Luyao Niu
Microgrid Fault Detection Utilizing State Observer and Multi-Agent System
Saad Alzahrani and Joydeep Mitra
Distributed Data Recovery Against False Data Injection Attacks in DC Microgrids
Zexuan Jin, Mengxiang Liu, Ruilong Deng and Peng Cheng
Insurance Contract for High Renewable Energy Integration
Dongwei Zhao, Hao Wang, Jianwei Huang and Xiaojun Lin
Friday, October 28 10:30 - 12:00
SS: Interplay Between Communication and Computation in Wireless-empowered Smart Grids
Room: LT2
Chair: Pavol Mulinka (Centre Tecnologic de Telecomunicacions de Catalunya, Spain); Petra Raussi (VTT Technical Research Centre of Finland, Finland)
Edge Computing supported Fault Indication in Smart Grid
Petra Raussi, Jorma Kilpi, Heli Kokkoniemi-Tarkkanen, Anna Kulmala and Petri Hovila
Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks
Ognjen Kundacina, Miodrag Forcan, Mirsad Cosovic, Darijo Raca, Merim Dzaferagic, Dragiša Mišković, Mirjana Maksimovic and Dejan Vukobratović
Integration of LSTM based Model to guide short-term energy forecasting for green ICT networks in smart grids
Hamid Malik and Ari T. Pouttu
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics
Alexander K Beattie, Pavol Mulinka, Subham Sahoo, Ioannis T. Christou, Charalampos Kalalas, Daniel Gutierrez Rojas and Pedro Henrique Juliano Nardelli
Smart Home/Office Energy Management based on Individual Data Analysis through IoT Networks
Guang-Li Huang, Jinho Choi, Adnan Anwar, Seng W Loke and Arkady Zaslavsky
Friday, October 28 10:30 - 12:20
W2: Workshop: Intelligence and Security for Smart Energy Systems
Room: TT4-5
Invited Talk: Stochastic Energy Management and Cyber-Physical Security in Smart Distribution Systems
Hao Liang (Associate Professor, Department of Electrical and Computer Engineering, University of Alberta)
Vulnerability Assessment of Machine Learning Based Short-Term Residential Load Forecast against Cyber Attacks on Smart Meters
Shichao Liu, Alanoud Alrasheedi, Osarodion Egbomwan and Nowayer Alrashidi
Fault Diagnosis of Microgrids Using Branch Convolution Neural Network and Majority Voting
Zhoubing Li, Meng Zhang, Lin Li and Xiaohong Guan
Evaluating Synthetic Datasets for Training Machine Learning Models to Detect Malicious Commands
Jia Wei Teo, Sean Gunawan, Partha P. Biswas and Daisuke Mashima
Graph Neural Network Based Prediction of Data Traffic in Cyber-Physical Smart Power Grids
Md Aminul Islam, Muhammad Ismail, Osman Boyaci, Rachad Atat and Susmit Shannigrahi
Friday, October 28 14:00 - 15:30
CO4: Scheduling and Optimization in Smart Grids
Room: TT2-3
Chair: Bo Tu (Singapore University of Technology and Design, Singapore)
Scheduling Electric Vehicle Fleets as a Virtual Battery under Uncertainty using Quantile Forecasts
Nico Brinkel, Jing Hu, Lennard Visser, Wilfried Van Sark and Tarek AlSkaif
Achieving Self-Configurable Runtime State Verification in Critical Cyber-Physical Systems
Abel O Gomez Rivera and Deepak K Tosh
Optimization-Based Exploration of the Feasible Power Flow Space for Rapid Data Collection
Ignasi Ventura Nadal and Samuel Chevalier
A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations
Heyu Ren, Chenxi Sun and Xiaoying Tang
Friday, October 28 14:00 - 15:50
SP3: Attack Detection and Localization in Smart Grids
Room: LT2
Chair: Biplab Sikdar (National University of Singapore, Singapore)
Detecting Hidden Attackers in Photovoltaic Systems Using Machine Learning
Suman Sourav, Partha P. Biswas, Binbin Chen and Daisuke Mashima
Early Detection of GOOSE Denial of Service (DoS) Attacks in IEC 61850 Substations
Ghada Elbez, Klara Nahrstedt and Veit Hagenmeyer
On The Efficacy of Physics-Informed Context-Based Anomaly Detection for Power Systems
Nouman Nafees, Neetesh Saxena and Peter Burnap
On Holistic Multi-Step Cyberattack Detection via a Graph-based Correlation Approach
Oemer Sen, Chijioke Eze, Andreas Ulbig and Antonello Monti
Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Deep Learning
Yexiang Chen, Subhash Lakshminarayana and Fei Teng
Friday, October 28 14:00 - 17:30
W3: Workshop: Cybersecurity of Electric Vehicle Charging and Smart Grid Resources
Room: TT4-5
Invited Talk: Security by Design in Cybersecurity of Car Accessories Control
Dmitry Mikhaylov (CSO & Co-founder, Reperion)
Invited Talk: Formal Abstractions for Safe Integration of Responsive Loads in Smart Grids
Sadegh Soudjani (Newcastle University, United Kingdom)
On the Security of Wireless Electric Vehicle Charging Communication
Sebastian Köhler, Simon Birnbach, Richard Baker and Ivan Martinovic
Security Threats in Electric Vehicle Charging
Sridhar Adepu, Anchal Ahalawat and Joseph Gardiner
Friday, October 28 16:30 - 18:00
DAC3: Data Analysis and Computation in Smart Metering
Room: TT2-3
Chair: Suman Sourav (Singapore University of Technology and Design, Singapore)
Flexibility Management for Residential Users Under Participation Uncertainty
Thanasis G. Papaioannou, George Stamoulis and Christos Krasopoulos
Automatic Differentiation of Variable and Fixed Speed Heat Pumps With Smart Meter Data
Tobias Brudermueller, Florian Wirth, Andreas Weigert and Thorsten Staake
Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring
Huamin Ren, Xiaomeng Su, Robert Jenssen, Jingyue Li and Stian Normann Anfinsen
Behind-the-Meter Disaggregation of Residential Electric Vehicle Charging Load
Kang Pu and Yue Zhao
Friday, October 28 16:30 - 18:00
SP4: Cyber Security, Risk Management and Digital Twins
Room: LT2
Chair: Ghada Elbez (Karlsruhe Institute of Technology (KIT), Germany)
Assessment of Cyber-Physical Intrusion Detection and Classification for Industrial Control Systems
Nils Müller, Charalampos Ziras and Kai Heussen
Investigating the Cybersecurity of Smart Grids Based on Cyber-Physical Twin Approach
Oemer Sen, Florian Schmidtke, Federico Carere, Francesca Santori, Andreas Ulbig and Antonello Monti
HA-Grid: Security Aware Hazard Analysis for Smart Grids
Luca Maria Castiglione, Zhongyuan Hau, Pudong Ge, Luis Muñoz-González, Kenneth T. Co, Fei Teng and Emil Lupu
A Reconfigurable and Secure Firmware Updating Framework for Advanced Metering Infrastructure
Prosanta Gope and Biplab Sikdar