Conference Program

EU Mirror / NA Mirror

This year’s conference will be held online due to the pandemic. To accommodate different time zones, the main program will run live two times during the original dates of the conference. The first mirror (EU mirror) starts in the morning, Turin local time, and the second mirror (NA mirror) starts in the afternoon, Turin local time. There are also a few joint sessions such as the poster session and SIGEnergy business meeting. These events will be streamed only once during the day.

Authors will record their presentation in advance and may choose to present live at either one or both of the mirrors. Q&A will be done in person (when the author presents live) and offline via Slack (when the author is unable to attend a mirror due to their time zone and a recording is used instead).

Please note that times are given in Central European Summer Time (CEST) for the EU mirror amd in Pacific Daylight Time (PDT) for the NA mirror. To find when each session starts, you can download the e-Energy program in iCal format for the EU mirror (link) and the NA mirror (link).

Best Paper Award Candidates

  • Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization by Bingqing Chen (Carnegie Mellon University); Priya L. Donti (Carnegie Mellon University); Kyri Baker (University of Colorado Boulder); J. Zico Kolter (Carnegie Mellon University & Bosch Center for AI); Mario Bergés (Carnegie Mellon University)
  • Privacy-Preserving Energy Storage Sharing with Blockchain by Sid Chi-Kin Chau (Australian National University); Nan Wang (Australian National University); Yue Zhou (Australian National University)
  • Online Peak-Aware Energy Scheduling with Untrusted Advice by Russell Lee (University of Massachusetts Amherst); Jessica Maghakian (Stony Brook University); Mohammad Hajiesmaili (University of Massachusetts Amherst); Jian Li (Binghamton University-SUNY); Ramesh Sitaraman (University of Massachusetts Amherst & Akamai Tech); Zhenhua Liu (Stony Brook University)

  • Tuesday, June 29, 2021

  • ACM e-Energy Opening / Welcome Session

  • EU Mirror: 10:00am CEST
    NA Mirror: 8:00am PDT

  • Session 1: Design and Operation of Distributed Energy Resources

    Session Chair: Vijay Arya (EU Mirror) / Mohammad Hajiesmaili (NA Mirror)

  • EU Mirror: 11:00am CEST
    NA Mirror: 9:00am PDT

  • Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage

    Yanfang Mo (City University of Hong Kong), Qiulin Lin (City University of Hong Kong), Minghua Chen (City University of Hong Kong), Si-Zhao Joe Qin (City University of Hong Kong)

    Full Paper

  • Privacy-Preserving Energy Storage Sharing with Blockchain (nominated)

    Sid Chi-Kin Chau (Australian National University), Nan Wang (Australian National University), Yue Zhou (Australian National University)

    Full Paper

  • Sizing and management of storage and demand response in the renewables-rich smart power grid

    Millen Kanabar (IIT Bombay), Jayakrishnan Nair (IIT Bombay)

    Notes

  • Sizing Solar Panels and Storage for Multiple Roofs

    Brad Guanqiao Huang (University of Waterloo), Fiodar Kazhamiaka (Stanford University), Srinivasan Keshav (University of Cambridge)

    Full Paper

  • Break

  • EU Mirror: 1:00pm CEST
    NA Mirror: 11:00am PDT

  • Session 2: Data Analytics for Smart Grid

    Session Chair: Julian de Hoog (EU Mirror) / Anke Weidlich (NA Mirror)

  • EU Mirror: 1:30pm CEST
    NA Mirror: 11:30am PDT

  • Characterizing Residential Load Patterns by Household Demographic and Socioeconomic Factors

    Zhuo Wei (Monash University), Hao Wang (Monash University)

    Notes

  • Flexibility Disaggregation under Forecast Conditions

    Dominik Danner (University of Passau), Jan Seidemann (University of Passau), Michael Lechl (University of Passau), Hermann de Meer (University of Passau)

    Full Paper

  • Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality

    Frederik vom Scheidt (Karlsruhe Institute of Technology), Xinyuan Dong (Karlsruhe Institute of Technology), Andrea Bartos (Karlsruhe Institute of Technology), Philipp Staudt (Karlsruhe Institute of Technology), Christof Weinhardt (Karlsruhe Institute of Technology)

    Notes

  • HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps

    Jonas Brusokas (Aalborg University), Torben Bach Pedersen (Aalborg University), Laurynas Siksnys (Aalborg University), Kaixuan Chen (Aalborg University), Dalin Zhang (Aalborg University)

    Full Paper

  • This Little Light of Mine: Electricity Access Mapping Using Night-time Light Data

    Santiago Correa (University of Massachusetts Amherst), Zeal Shah (University of Massachusetts Amherst), Jay Taneja (University of Massachusetts Amherst)

    Notes

  • Break

  • EU Mirror: 3:30pm CEST
    NA Mirror: 1:30pm PDT

  • Keynote 1: Anna Scaglione, Arizona State University

  • EU Mirror: 4:00pm CEST
    NA Mirror: 2:00pm PDT

  • Grid Graph Signal Processing: Theory and Practical Applications

    Abstract: Signals from physical infrastructures, such as the grid, have structural properties that are naturally governed by and can be explained using the laws of physics. This talk suggests how to view those physical laws as instances of a Graph Signal Processing (GSP) signal, in a way that unveils a series of statistical and algebraic properties of the signal and that opens the door for applying GSP to develop machine learning algorithms using a parametric Bayesian framework. In this talk we introduce the algorithmic foundations of GSP modeling for the analysis of signals and multivariate-time series whose support is a graph and unveil how power systems modeling supports the notion that the grid voltage phasors are a low-pass graph signal process. Having established this connection we explore how to use GSP modeling and Graph Fourier Transforms (GFTs) allows directly to derive sampling schemes, denoising, interpolation, general classification and system identification problems as well as compression of grid data.

    Keynote

  • Wednesday, June 30, 2021

  • Session 3: Analytics and Control in Smart Buildings

    Session Chair: Arun Vishwanath (EU Mirror) / Vishal Garg (NA Mirror)

  • EU Mirror: 10:00am CEST
    NA Mirror: 8:30am PDT

  • Energon: A Data Acquisition System for Portable Building Analytics

    Fang He (The Hong Kong Polytechnic University), Yang Deng (The Hong Kong Polytechnic University), Yanhui Xu (The Hong Kong Polytechnic University), Cheng Xu (Johnson Electric), Dezhi Hong (University of California, San Diego), Dan Wang (The Hong Kong Polytechnic University)

    Full Paper

  • On the Joint Control of Multiple Building Systems with Reinforcement Learning

    Tianyu Zhang (University of Alberta), Gaby Baasch (University of Victoria), Omid Ardakanian (University of Alberta), Ralph Evins (University of Victoria)

    Full Paper

  • Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization (nominated)

    Bingqing Chen (Carnegie Mellon University), Priya L. Donti (Carnegie Mellon University), Kyri Baker (University of Colorado Boulder), J. Zico Kolter (Carnegie Mellon University & Bosch Center for AI), Mario Bergés (Carnegie Mellon University)

    Full Paper

  • Break

  • EU Mirror: 11:30am CEST
    NA Mirror: 10:00am PDT

  • Session 4: Disaggregation & NILM

    Session Chair: Dominik Engels (EU Mirror) / Dong Chen (NA Mirror)

  • EU Mirror: 12:00pm CEST
    NA Mirror: 10:30am PDT

  • Electricity Demand Activation Extraction: From Known to Unknown Signatures, Using Similarity Search

    Pauline Laviron-Petit (EDF R&D), Xueqi Dai (Huazhong University of Science and Technology), Berenice Huquet (EDF R&D), Themis Palpanas (University of Paris), Pauline Laviron-Petit (EDF)

    Full Paper

  • An Evaluation of NILM Approaches on Industrial Energy-Consumption Data

    Florian Kalinke (Karlsruhe Institute of Technology), Pawel Bielski (Karlsruhe Institute of Technology), Snigdha Singh (Karlsruhe Institute of Technology), Edouard Fouché (Karlsruhe Institute of Technology), Klemens Böhm (Karlsruhe Institute of Technology)

    Notes

  • Towards Privacy-preserving Framework for Non-Intrusive Load Monitoring

    Henrique Potter (University of Pittsburgh), Stephen Lee (University of Pittsburgh), Daniel Mosse (University of Pittsburgh)

    Notes

  • Disaggregating Solar Generation Using Smart Meter Data and Proxy Measurements from Neighbouring Sites

    Xinlei Chen (University of Alberta), Moosa Moghimi Haji (University of Alberta), Omid Ardakanian (University of Alberta)

    Notes

  • Break

  • EU Mirror: 1:30pm CEST
    NA Mirror: 12:00pm PDT

  • Session 5: Data centers

    Session Chair: Sonja Klingert (EU Mirror) / Stephen Lee (NA Mirror)

  • EU Mirror: 2:00pm CEST
    NA Mirror: 12:30pm PDT

  • Online Peak-Aware Energy Scheduling with Untrusted Advice (nominated)

    Russell Lee (University of Massachusetts Amherst), Jessica Maghakian (Stony Brook University), Mohammad Hajiesmaili (University of Massachusetts Amherst), Jian Li (Binghamton University-SUNY), Ramesh Sitaraman (University of Massachusetts Amherst & Akamai Tech), Zhenhua Liu (Stony Brook University)

    Full Paper

  • Evaluating Coupling Models for Cloud Datacenters and Power Grids

    Liuzixuan Lin (University of Chicago), Victor M. Zavala (University of Wisconsin-Madison), Andrew A. Chien (University of Chicago & Argonne National Lab)

    Full Paper

  • Best Paper Award

  • EU Mirror: 3:00pm CEST

  • Break - Meet the PC/Organizers

  • EU Mirror: 3:30pm CEST

  • Break

  • NA Mirror: 13:30pm PDT

  • Keynote 2: John Platt, Google Research

  • EU Mirror: 4:30pm CEST
    NA Mirror: 2:00pm PDT

  • Fighting climate change at scale: lessons from Google

    Abstract: Climate change is the most important problem facing society in the 21st century. Google has been fighting climate change for decades: this talk shares some generalizable lessons that we have learned. Our climate change efforts fall into two broad categories: reducing our own carbon footprint and helping out customers and partners reduce theirs. I’ll go over some of the computational, data, and AI aspects of these reductions.

    Keynote

  • Thursday, July 1, 2021

  • Session 6: Smart Grid 1

    Session Chair: Veit Hagenmeyer (EU Mirror) / Astrid Nieße (NA Mirror)

  • EU Mirror: 9:00am CEST
    NA Mirror: 8:00am PDT

  • Temporal Vulnerability Assessment for Convex Hull Pricing

    Jian Sun (Tsinghua University), Chenye Wu (The Chinese University of Hong Kong, Shenzhen)

    Full Paper

  • Solving the Dynamics-Aware Economic Dispatch Problem with the Koopman Operator

    Ethan King (Pacific Northwest National Laboratory), Craig Bakker (Pacific Northwest National Laboratory), Arnab Bhattacharya (Pacific Northwest National Laboratory), Samrat Chatterjee (Pacific Northwest National Laboratory), Feng Pan (Pacific Northwest National Laboratory), Matthew Oster (Pacific Northwest National Laboratory), Casey Perkins (Pacific Northwest National Laboratory)

    Full Paper

  • Break

  • EU Mirror: 10:00am CEST
    NA Mirror: 9:00am PDT

  • Session 7: Smart Grid 2

    Session Chair: Elizabeth Ratnam (EU Mirror) / Torben Bach Pedersen (NA Mirror)

  • EU Mirror: 10:30am CEST
    NA Mirror: 9:30am PDT

  • Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability Assessment

    Qun Song (Nanyang Technological University), Rui Tan (Nanyang Technological University), Chao Ren (Nanyang Technological University), Yan Xu (Nanyang Technological University)

    Full Paper

  • Data-driven Energy Theft Detection in Modern Power Grids

    Ahlam Althobaiti (Lancaster University), Anish Jindal (University of Essex), Angelos Marnerides (University of Glasgow)

    Full Paper

  • Neural Network and Correlation based Earth-Fault Localization utilizing a Digital Twin of a Medium-Voltage Grid

    Julian Wörmann (fortiss GmbH), Melanie Urban (GridData GmbH), David Grubinger (Salzburg Netz GmbH), Nuno Silva (GridData GmbH), Hans-Peter Schwefel (GridData GmbH & Aalborg University)

    Notes

  • Why Your Power System Restoration Does Not Work and What the ICT System Can Do About It

    Sanja Stark (OFFIS – Institute for Information Technology), Anna Volkova (University of Passau), Sebastian Lehnhoff (OFFIS – Institute for Information Technology), Hermann De Meer (University of Passau)

    Notes

  • Solutions of DC OPF are Never AC Feasible

    Kyri Baker (University of Colorado Boulder)

    Notes

  • Break

  • EU Mirror: 12:30pm CEST
    NA Mirror: 11:30am PDT

  • Session 8: Energy Trading and Markets

    Session Chair: Yashar Ghiassi-Farrokhfal (EU Mirror) / Philipp Staudt (NA Mirror)

  • EU Mirror: 1:00pm CEST
    NA Mirror: 12:00pm PDT

  • Blockchain for Transactive Energy Management of Distributed Energy Resources in Smart Grid

    Qing Yang (Shenzhen University), Hao Wang (Monash University), Xiaoxiao Wu (Shenzhen University), Taotao Wang (Shenzhen University), Shengli Zhang (Shenzhen University)

    Notes

  • Efficient Peer-to-Peer Energy Trading Mechanisms with Unreliable Prosumers

    Angeliki Anastopoulou (Athens University of Economics and Business), Iordanis Koutsopoulos (Athens University of Economics and Business), George D. Stamoulis (Athens University of Economics and Business)

    Full Paper

  • Pricing flexibility of shiftable demand in electricity markets

    Lucien Werner (Caltech), Adam Wierman (Caltech), Steven Low (Caltech)

    Full Paper

  • Pricing in Prosumer Aggregations using Reinforcement Learning

    Utkarsha Agwan (UC Berkeley), Lucas Spangher (UC Berkeley), William Arnold (UC Berkeley), Tarang Srivastava (UC Berkeley), Kameshwar Poolla (UC Berkeley), Costas Spanos (UC Berkeley)

    Notes

  • One Minute Madness

    Session Chair: to be announced

  • EU Mirror: 2:40pm CEST

  • Poster Session

    Session Chair: to be announced

  • EU Mirror: 3:00pm CEST

  • ACM SIG Business Meeting

  • EU Mirror: 4:00pm CEST

Please email the TPC Chairs Omid Ardakanian and Astrid Nieße with any questions you may have.

Supporters

Association for Computing Machinery ACM SIGEnergy

Sponsors

Akamai
The ACM e-Energy 2021 Website by ACM SIGCOMM 2012 is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Source code is available at github.com.