Table of Contents

• Pricing flexibility of shiftable demand in electricity marketsLucien Werner, Adam Wierman, Steven H. Low. 1-14 [doi]
• Energon: A Data Acquisition System for Portable Building AnalyticsFang He, Yang Deng, Yanhui Xu, Cheng Xu, Dezhi Hong, Dan Wang. 15-26 [doi]
• Flexibility Disaggregation under Forecast ConditionsDominik Danner, Jan Seidemann, Michael Lechl, Hermann de Meer. 27-38 [doi]
• Data-driven Energy Theft Detection in Modern Power GridsAhlam Althobaiti, Anish Jindal, Angelos K. Marnerides. 39-48 [doi]
• Efficient Peer-to-Peer Energy Trading Mechanisms with Unreliable ProsumersAngeliki Anastopoulou, George D. Stamoulis, Iordanis Koutsopoulos. 49-59 [doi]
• On the Joint Control of Multiple Building Systems with Reinforcement LearningTianyu Zhang, Gaby M. Baasch, Omid Ardakanian, Ralph Evins. 60-72 [doi]
• Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy StorageYanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin. 73-83 [doi]
• Sizing Solar Panels and Storage for Multiple RoofsBrad Guanqiao Huang, Fiodar Kazhamiaka, Srinivasan Keshav. 84-94 [doi]
• Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability AssessmentQun Song, Rui Tan, Chao Ren, Yan Xu 0005. 95-106 [doi]
• Online Peak-Aware Energy Scheduling with Untrusted AdviceRussell Lee, Jessica Maghakian, Mohammad H. Hajiesmaili, Jian Li, Ramesh K. Sitaraman, Zhenhua Liu. 107-123 [doi]
• Temporal Vulnerability Assessment for Convex Hull PricingJian Sun, Chenye Wu. 124-136 [doi]
• Solving the Dynamics-Aware Economic Dispatch Problem with the Koopman OperatorEthan King, Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Feng Pan, Matthew R. Oster, Casey J. Perkins. 137-147 [doi]
• Electricity Demand Activation Extraction: From Known to Unknown Signatures, Using Similarity SearchPauline Laviron, Xueqi Dai, Bérénice Huquet, Themis Palpanas. 148-159 [doi]
• HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumpsJonas Brusokas, Torben Bach Pedersen, Laurynas Siksnys, Dalin Zhang, Kaixuan Chen. 160-170 [doi]
• Evaluating Coupling Models for Cloud Datacenters and Power GridsLiuzixuan Lin, Victor M. Zavala, Andrew A. Chien. 171-184 [doi]
• Privacy-Preserving Energy Storage Sharing with BlockchainNan Wang, Sid Chi-Kin Chau, Yue Zhou. 185-198 [doi]
• Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy OptimizationBingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés. 199-210 [doi]
• Blockchain for Transactive Energy Management of Distributed Energy Resources in Smart GridQing Yang, Hao Wang, Xiaoxiao Wu, Taotao Wang, Shengli Zhang. 211-215 [doi]
• Sizing and management of storage and demand response in the renewables-rich smart power gridMillen Kanabar, Jayakrishnan Nair. 216-219 [doi]
• Pricing in Prosumer Aggregations using Reinforcement LearningUtkarsha Agwan, Lucas Spangher, William Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos. 220-224 [doi]
• Disaggregating Solar Generation Using Smart Meter Data and Proxy Measurements from Neighbouring SitesXinlei Chen, Moosa Moghimi Haji, Omid Ardakanian. 225-230 [doi]
• Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast QualityFrederik vom Scheidt, Xinyuan Dong, Andrea Bartos, Philipp Staudt, Christof Weinhardt. 231-238 [doi]
• An Evaluation of NILM Approaches on Industrial Energy-Consumption DataFlorian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm. 239-243 [doi]
• Characterizing Residential Load Patterns by Household Demographic and Socioeconomic FactorsZhuo Wei, Hao Wang. 244-248 [doi]
• Neural Network and Correlation based Earth-Fault Localization utilizing a Digital Twin of a Medium-Voltage GridJulian Wörmann, Melanie Urban, David Grubinger, Nuno Silva, Hans-Peter Schwefel. 249-253 [doi]
• This Little Light of Mine: Electricity Access Mapping Using Night-time Light DataSantiago Correa, Zeal Shah, Jay Taneja. 254-258 [doi]
• Towards Privacy-preserving Framework for Non-Intrusive Load MonitoringHenrique Pötter, Stephen Lee, Daniel Mossé. 259-263 [doi]
• Solutions of DC OPF are Never AC FeasibleKyri Baker. 264-268 [doi]
• Why Your Power System Restoration Does Not Work and What the ICT System Can Do About ItSanja Stark, Anna Volkova, Sebastian Lehnhoff, Hermann de Meer. 269-273 [doi]
• Towards Automated System-Level Energy-Efficiency Optimisation using Machine Learning: PosterBenedict Herzog, Stefan Reif, Fabian Hügel, Timo Hönig, Wolfgang Schröder-Preikschat. 274-275 [doi]
• Data-driven prediction of fine-grained EV charging behaviors in public charging stations: PosterFuli Qiao, Shan Lin. 276-277 [doi]
• A review of electric vehicle charging session open data: PosterYvenn Amara-Ouali, Pascal Massart, Jean-Michel Poggi, Yannig Goude, Hui Yan. 278-279 [doi]
• Smart Energy Meter Calibration: An Edge Computation Method: PosterHimanshu V. Dubara, Mahesh Parihar, Krithi Ramamritham. 280-281 [doi]
• Unionized Data Governance in Virtual Power Plants: PosterNiels Ørbæk Chemnitz, Philippe Bonnet, Sebastian Büttrich, Irina Shklovski, Laura Watts. 282-283 [doi]
• Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface: A Real-World Application in the Energy Lab 2.0: PosterStefan Meisenbacher, Karl Schwenk, Johannes Galenzowski, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer. 284-285 [doi]
• Analyzing Seasonal Variation in Residential Load Patterns via Two-Stage Clustering and Relative Entropy: PosterZhenyu Wang, Hao Wang. 286-287 [doi]
• Understanding controlled EV charging impacts using scenario-based forecasting models: PosterRahul Roy, Trivikram Dokka, David A. Ellis, Esther Dudek, Paul Barnfather. 288-289 [doi]
• Sustainable Smart Electricity Markets: Designing Tariffs Using Multi-Agent Simulation: PosterNastaran Naseri, Saber Talari, Wolfgang Ketter, John Collins. 290-291 [doi]
• Towards Reinforcement Learning for Vulnerability Detection in Power Systems and Markets: PosterThomas Wolgast, Eric M. S. P. Veith, Astrid Nieße. 292-293 [doi]
• Stealthy Rootkit Attacks on Cyber-Physical Microgrids: PosterSuman Rath, Ioannis Zografopoulos, Charalambos Konstantinou. 294-295 [doi]
• Computational Challenges to Realizing Large-Scale CO2 Capture and Storage: PosterSean Yaw, Richard S. Middleton. 296-297 [doi]
• Introducing MILM: A Hybrid Minimal-Intrusive Load Monitoring Approach: PosterBenjamin Völker, Marc Pfeifer, Florian Wolling, Philipp M. Scholl, Bernd Becker 0001. 298-299 [doi]
• AI Waste Prevention: Time and Power Estimation for Edge Tensor Processing Units: PosterStefan Reif, Benedict Herzog, Judith Hemp, Wolfgang Schröder-Preikschat, Timo Hönig. 300-301 [doi]
• Design Considerations for Energy-efficient Inference on Edge DevicesWalid A. Hanafy, Tergel Molom-Ochir, Rohan Shenoy. 302-308 [doi]
• Automated Selection of Energy-efficient Operating System ConfigurationsBenedict Herzog, Fabian Hügel, Stefan Reif, Timo Hönig, Wolfgang Schröder-Preikschat. 309-315 [doi]
• Self-Sustainable Cyber-Physical Systems with Collaborative Intermittent ComputingGaosheng Liu, Lin Wang. 316-321 [doi]
• Efficiency of Virtualization over MEC plus CloudVincenzo Mancuso, Paolo Castagno, Matteo Sereno. 322-327 [doi]
• Energy-Efficient AI over a Virtualized Cloud Fog NetworkBarzan A. Yosuf, Sanaa Hamid Mohamed, Mohammed Moawad Alenazi, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani. 328-334 [doi]
• Uncertainty Visualization for Renewable Energy PotentialPaul Diaz, Kristi Potter, Graham Johnson, Anthony Lopez. 335-340 [doi]
• Electrical Appliance Usage Timeline Data Visualization: Machinima and Dynamic CircleZhihan Yang, Nigel H. Goddard, Lynda Webb, Huiwei Chen. 341-344 [doi]
• RAVIS: Resource Forecast and Ramp Visualization for Situational Awareness of Variable Renewable GenerationPaul Edwards, Haiku Sky, Venkat Krishnan. 345-354 [doi]
• Visualization of Jet Impingement and Ignition in a Piston-cylinder ChamberNicholas Brunhart-Lupo, Shashank Yellapantula, Kenny Gruchalla, Ray Grout. 355-361 [doi]
• Lumiphys: Designing a Long-Term Energy Physicalization to Democratize Smart Campus DataLuiz Morais, Lívia M. R. Sampaio, Gibran Yásser, Andrey Brito. 362-366 [doi]
• Visualising the Effect of COVID-19 on Electricity Consumption in Victoria, AustraliaShaylin Chetty, Hao Wang, Sarah Goodwin. 367-371 [doi]
• Visualization of Multi-Fidelity Approximations of Stochastic Economic DispatchKinshuk Panda, Ryan King, Jonathan Maack, Ignas Satkauskas, Kristi Potter. 372-376 [doi]
• Visualizing Interactions Between Solar Photovoltaic Farms and the Atmospheric Boundary LayerTushar M. Athawale, Brooke J. Stanislawski, Sudhanshu Sane, Chris R. Johnson 0001. 377-381 [doi]
• Data Visualisation for Remote Area Electrification Decision-Making: A Case Study of IndonesiaAmal Alshardy, Sarah Goodwin, Ariel Liebman. 382-388 [doi]
• BBEMA: Dashboard for Baltic Balancing Energy Market AnalysisVita Sakele, Zane Broka. 389-395 [doi]
• Towards Embodied Interaction for Geospatial Energy Sector Analytics in Immersive EnvironmentsAndrew Cunningham, Jonathon Derek Hart, Ulrich Engelke, Matt Adcock, Bruce H. Thomas. 396-400 [doi]
• Visualizing Vehicle Acceleration and Braking Energy at Intersections along a Major Traffic CorridorHaowen Xu, Anne Berres, Chieh Ross Wang, Tim J. LaClair, Jibonananda Sanyal. 401-405 [doi]
• Informed Dashboard Designs for Microgrid Electricity Market OperatorsSarah Goodwin, Yasmina Dkhissi, Qiuhong Wu, Brendan Moyle, Karen Freidin, Ariel Liebman. 406-411 [doi]
• Visualizing thermal comfort in residential passive house designsKaterina Vrotsou, Wiktoria Glad. 412-416 [doi]
• A Three-Level Modelling Approach for Asynchronous Speed Scaling in High-Performance Data CentresAlexander S. Rumyantsev, Robert Basmadjian, Alexander Golovin, Sergey Astafiev. 417-423 [doi]
• Towards a Holistic Controller: Reinforcement Learning for Data Center ControlAlbin Heimerson, Rickard Brännvall, Johannes Sjölund, Johan Eker, Jonas Gustafsson. 424-429 [doi]
• A Guide to Reducing Carbon Emissions through Data Center Geographical Load ShiftingJulia Lindberg, Yasmine Abdennadher, Jiaqi Chen, Bernard C. Lesieutre, Line Roald. 430-436 [doi]
• Energy and Exergy-Aware Workload Assignment for Air-Cooled Data CentersRohit Gupta, Douglas G. Down, Ishwar K. Puri. 437-442 [doi]
• Flexibility Management of Data Centers to Provide Energy Services in the Smart GridMarcel Antal, Tudor Cioara, Ionut Anghel, Claudia Antal, Ioan Salomie. 443-449 [doi]
• Hybrid Approach for Digital Twins in the Built EnvironmentYu-Wen Lin, Tsz Ling Elaine Tang, Costas J. Spanos. 450-457 [doi]
• Spatio-Temporal Missing Data Imputation for Smart Power GridsSanmukh R. Kuppannagari, Yao Fu, Chung-Ming Cheung, Viktor K. Prasanna. 458-465 [doi]
• One model fits all: Individualized household energy demand forecasting with a single deep learning modelSpiros Chadoulos, Iordanis Koutsopoulos, George C. Polyzos. 466-474 [doi]
• End-to-End Framework for Imputation and State Discovery in Longitudinal Energy DataAlexander Ladd, Kwan Ho Ryan Chan, Sam Nguyen, Jose Cadena, Brenda Ng. 475-482 [doi]
• Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand ResponseDoseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas Spanos. 483-487 [doi]
• Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive ControlWilliam Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas Spanos. 488-492 [doi]
• Towards Learning-Based Architectures for Sensor Impact Evaluation in Building ControlsSaptarshi Bhattacharya, Himanshu Sharma, Veronica Adetola. 493-498 [doi]
• Additive Gaussian process prediction for electrical loads compared with deep learning modelsYifu Ding, Malcolm McCulloch. 499-506 [doi]