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ORCID15th e-Energy 2024: Singapore
- The 15th ACM International Conference on Future and Sustainable Energy Systems, e-Energy 2024, Singapore, June 4-7, 2024. ACM 2024
eEnergy'24 Main Conference: Full Papers
- David Reihs
, Friederich Kupzog, Hermann de Meer:
Regional Differences in Configurations of Energy Communities: Future Scenarios and Policy Implications. - Anaïs Berkes, Srinivasan Keshav:
SOPEVS: Sizing and Operation of PV-EV-Integrated Modern Homes. - Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili:
LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand. - Niklas Goerke, Alexandra Märtz, Ingmar Baumgart:
Who Controls Your Power Grid? On the Impact of Misdirected Distributed Energy Resources on Grid Stability. - Gargya Gokhale, Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder:
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers. - Jonas Sievers, Thomas Blank, Frank Simon:
Advancing Accuracy in Energy Forecasting using Mixture-of-Experts and Federated Learning. - Leo Strobel, Marco Pruckner:
Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles. - Samuel Talkington, Amanda West, Rabab Haider:
Locational marginal burden: Quantifying the equity of optimal power flow solutions. - Wedan Emmanuel Gnibga, Andrew A. Chien, Anne Blavette, Anne-Cécile Orgerie:
FlexCoolDC: Datacenter Cooling Flexibility for Harmonizing Water, Energy, Carbon, and Cost Trade-offs. - Seyed Doroush Karimi Madahi, Gargya Gokhale, Marie-Sophie Verwee, Bert Claessens, Chris Develder:
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies. - Javier Sales-Ortiz, Omid Ardakanian:
Efficient Trading of Aggregate Bidirectional EV Charging Flexibility with Reinforcement Learning. - Ivo A. M. Varenhorst, Johann L. Hurink, Marco E. T. Gerards:
Quantifying Device Flexibility With Shapley Values in Demand Side Management. - Joe Gorka, Line Roald:
Classification Models for Forecasting and Real-Time Identification of Solar Curtailment in the California Grid. - Maximilian Beichter, Dorina Werling, Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Nils Friederich, Ralf Mikut, Veit Hagenmeyer:
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems. - Marcel Weßbecher, Friedrich Wiegel, Sophie Xing An, Klemens Schneider, Dominik Schulz, Martina Zitterbart, Marc Hiller, Veit Hagenmeyer:
Line Management in the Energy Packet Grid. - Roland Saur, Han La Poutré, Neil Yorke-Smith:
Incentives for Accurate Energy Predictions: How to Reduce Epistemic Uncertainty. - Srinarayana Nagarathinam, Arunchandar Vasan:
PhyGICS - A Physics-informed Graph Neural Network-based Intelligent HVAC Controller for Open-plan Spaces. - Zhiyi Zhou, Ningkun Zheng, Runfan Zhang, Bolun Xu:
Energy Storage Market Power Withholding Bounds in Real-time Markets. - Sahand Karimi-Arpanahi, Ali Pourmousavi Kani, Nariman Mahdavi:
Battery Scheduling Optimisation in Energy and Ancillary Services Markets: Quantifying Unrealised Revenue in the Australian NEM. - Ehimare Okoyomon, Christoph Goebel:
EnergyOS: Designing a Multi-Application EMS Platform. - Diptyaroop Maji, Noman Bashir, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman:
The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy. - Fabio Lilliu, Jonas Brusokas, Torben Bach Pedersen:
Device-independent metrics for explicit, a priori measurement of energy flexibility. - Pawel Bielski, Aleksandr Eismont, Jakob Bach, Florian Leiser, Dustin Kottonau, Klemens Böhm:
Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines. - Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren:
Towards Environmentally Equitable AI via Geographical Load Balancing. - Aditya Priya, Rajiv Choudhury, Sujay Patni, Himkant Sharma, Moonmoon Mohanty, Krishnasuri Narayanam, Umamaheswari Devi, Pratibha Moogi, Preetam Patil, Parimal Parag:
Energy-minimizing workload splitting and frequency selection for guaranteed performance over heterogeneous cores. - Tianyu Zhang, Omid Ardakanian:
Comfort-aware Optimal Space Planning in Shared Workspaces. - Carmen Cheh, Justin Albrethsen, Zhen Wei Ng, Binbin Chen, Xin Lou, Zaki Masood, David K. Y. Yau:
Water Pump Operation Optimization under Dynamic Market and Consumer Behaviour. - Jieming Bian, Lei Wang, Shaolei Ren, Jie Xu:
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱. - Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili:
A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms. - Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao:
FedZero: Leveraging Renewable Excess Energy in Federated Learning. - Russell Lee, Bo Sun, Mohammad Hajiesmaili, John C. S. Lui:
Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets.
eEnergy'24 Main Conference: Notes Papers
- Xinyi Wen, Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Veit Hagenmeyer, Benjamin Schäfer:
Identifying Complex Dynamics of Power Grid Frequency. - Yize Chen, Deepjyoti Deka, Yuanyuan Shi:
Contributions of Individual Generators to Nodal Carbon Emissions. - Thanathorn Sukprasert, Noman Bashir, Abel Souza, David E. Irwin, Prashant J. Shenoy:
On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations. - Pranjol Sen Gupta, S. M. Shafiul Alam, Yichen Zhang, Mohammad A. Islam:
Towards Non-Intrusive Real-Time Monitoring of Behind the Meter Residential Distributed Energy Resources. - Liuzixuan Lin, Rajini Wijayawardana, Varsha Rao, Hai Nguyen, Wedan Emmanuel Gnibga, Andrew A. Chien:
Exploding AI Power Use: an Opportunity to Rethink Grid Planning and Management. - Pranjol Sen Gupta, Md Rajib Hossen, Pengfei Li, Shaolei Ren, Mohammad A. Islam:
A Dataset for Research on Water Sustainability. - Sebastian Pütz, Hadeer El Ashhab, Matthias Hertel, Ralf Mikut, Markus Götz, Veit Hagenmeyer, Benjamin Schäfer:
Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers. - Sharath Ram Kumar, Arvind Easwaran, Benoit Delinchant, Remy Rigo-Mariani:
Real-time Retail Electricity Pricing Using Offline Reinforcement Learning. - Afia Afrin, Omid Ardakanian:
On Brittleness of Data-Driven Distribution System State Estimation to Targeted Attacks. - Xiaoyang Zhang, Yijie Yang, Dan Wang:
Spatial-Temporal Embodied Carbon Models for the Embodied Carbon Accounting of Computer Systems.
eEnergy'24 Main Conference: Posters and Demos
- Martin Rätz, Rita Streblow, Dirk Müller:
Severe Fault Diagnosis in Digitized District Heating Network Substations: A Machine Learning Regression Approach. - Junsong Du, Rita Streblow, Dirk Müller:
Proof of concept: an ICT system framework for local energy markets based on open-source solutions. - Rongrong Wang, Duc Van Le, Rui Tan:
Two Tropical Data Center Testbeds and Data Yields from 2018 to 2024. - Toon Van Puyvelde, Marie-Sophie Verwee, Gargya Gokhale, Mehran Zareh Eshghdoust, Chris Develder:
HomeLabGym: A real-world testbed for home energy management systems. - Ren Sasaki, Shotaro Nonaka, Dafang Zhao, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye:
Thermal Comfort-aware Aggregation via Multi-HVAC Systems for Demand-side Flexibility. - Fabio Pavirani, Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder:
Frequency Containment Reserve and Imbalance participation: a Battery-Integrated Reinforcement Learning Strategy. - Theint Theint Thu, Harrison Malfait, Kenshiro Kato, Dafang Zhao, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye:
Optimizing VRF System Operation for Energy Efficiency under Power Constraints: On-Site Experiment. - Shuhei Mitsunaga, Dafang Zhao, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye:
Extending Multi-time Scale Energy Management System to Support Wind Power Generation. - Yang Deng, Donghua Xie, Jingyun Zeng, Rui Liang, Yufei Zhang, Jiaqi Fan, Samson Tai, Dan Wang:
Demo: Towards Deploying ML-based Load Forecasting Models for Building HVAC System: an AI Evaluation Platform. - Rui Liang, Yang Deng, Dan Wang:
Probabilistic Building Load Forecasting via Conditional Diffusion Model. - Aadesh Pochhi, Akshat Lohia, Nilotpal Chakraborty:
Optimizing Electric Vehicle Charging Stations and Charging Ports for Highways and Expressways. - Akshat Lohia, Aadesh Pochhi, Nilotpal Chakraborty:
Developing Cost Effective and User-Centric Charging Infrastructure for Electric Vehicles in Urban Localities. - Gargya Gokhale, Bert Claessens, Chris Develder:
Sample efficient reinforcement learning for building control: Leveraging physics informed latent representations.
12th International Workshop on Energy-Efficient Data Centres (E2DC'24)
- Duc Van Le, Rui Tan:
An Optimization Approach for Selection and Deployment of Energy-Efficient Servers in Green Data Centers. - Grant Wilkins, Srinivasan Keshav, Richard Mortier:
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads. - Jonas Gustafsson, Jon Summers, Joaquim Romani, Santiago Escudero:
Immersion cooled, solid oxide fuel cell powered Edge data center with heat recovery. - Wojciech Szeliga, Ariel Oleksiak, Robert Roszak:
Automation of data center airflow and heat transfer analysis for transient scenario.
The 5th International Workshop on Energy Data and Analytics (EDA)
- Florian Ebmeier, Nicole Ludwig, Georg Martius, Volker H. Franz:
PaSTS An Operational Dataset for Domestic Solar Thermal Systems. - Bolin Liu, Maximilian Coblenz, Oliver Grothe:
Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling. - Oliver Neumann, Maximilian Beichter, Benedikt Heidrich, Nils Friederich, Veit Hagenmeyer, Ralf Mikut:
Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions. - Tom Hilgers, Radita Liem:
Comparability and Reproducibility in HPC Applications' Energy Consumption Characterization. - Jovana Kovacevic, Chang Li, Kevin Förderer, Hüseyin K. Çakmak, Veit Hagenmeyer:
Improving Reduced-Order Building Modeling: Integration of Occupant Patterns for Reducing Energy Consumption. - Diptyaroop Maji, Noman Bashir, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman:
Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing.
The 1st International Workshop on Cybersecurity and Privacy of Energy Systems (EnergySP'24)
- Gustavo Sánchez, Ghada Elbez, Veit Hagenmeyer:
Attacking Learning-based Models in Smart Grids: Current Challenges and New Frontiers. - Philipp Danner, Anna Volkova, Hermann de Meer:
Two-Step Blackout Mitigation by Flexibility-Enabled Microgrid Islanding. - Y. S. Eddy Foo, Parikshit Pareek, L. P. M. I. Sampath, Hung D. Nguyen:
A Convergence Predictor Model for Consensus-based Decentralised Energy Markets. - Evan Laufer, Philip Alexander Levis, Ram Rajagopal:
Privacy-Preserving Control of Partitioned Energy Resources. - Sid Chi-Kin Chau, Nan Wang, Samuel Karumba:
EnergiPay: Off-chain Payment Channel for Blockchain-enabled Peer-to-peer Energy Trading. - Anmol Saraf, Anupama Kowli:
Appliance Ownership Prediction With Smart Meter Data. - Alexander Kocher, Jovana Kovacevic, Anne-Christin Süß, Can Berk Saner, Burak Dindar, Md Amimul Ehsan, Hüseyin K. Çakmak, Veit Hagenmeyer:
Privacy Protection in Collaborative Geographically Distributed Co-Simulation of Multimodal Energy Systems. - Ngoc Que Anh Tran, Liang He:
T-IDS: A Thermal-Model-based Intrusion Detection System for Wind Turbines. - Jit Biswas, Revati Godse, Binbin Chen, Muhammad M. Roomi, Bennet Ng:
Substation simulation synchronization - towards a distributed and scaled power grid cyber range. - Mahathir Almashor, Yusuke Miyashita, Sam West, Thi Van Dai Dong:
Can Private LLM Agents Synthesize Household Energy Consumption Data? - Samuel Karumba, Sid Chi-Kin Chau, Hammond Pearce, Mohi Ahmed, Helge Janicke:
Systematic Study of Cybersecurity Threats for Smart Inverters. - Aristide Tanyi-Jong Akem, Michele Gucciardo, Marco Fiore:
Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids.
The 1st ACM International Workshop on Trust-worthy ML for energy systems (SAFE-ENERGY'24)
- Yu Qian Ang, Ming Yan, Nan Ma:
On interpretable and explainable machine learning for urban building energy modeling. - Gargya Gokhale, Bert Claessens, Chris Develder:
Explainable Home Energy Management Systems based on Reinforcement Learning using Differentiable Decision Trees. - Hussain Kazmi, Attila Balint, Fuyang Jiang, Jilles De Blauwe, Fahad Mehmood:
Beyond empirical risk: testing data-driven energy models in sparse and biased data regimes.
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