e-Energy (Companion)

Keyphrases

Publications

2023

Jakub Adamski, Radoslaw Górzenski, Turhan Can Kargin, Lukasz Malewski, Ariel Oleksiak, Franciszek Sidorski
Planning data center waste heat re-use in a university campus - a case study and software tools. e-Energy (Companion) (2023)
Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishniah
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. e-Energy (Companion) (2023)
Sebastian Fredriksson, Lackis Eleftheriadis, Rickard Brännvall, Nils Bäckman, Jonas Gustafsson
ANIARA: Experimental Investigation of Micro Edge Data Centers with Battery Support on Power-Constrained Grids. e-Energy (Companion) (2023)
DiAndra Phillip, Jin Chen, Fani Maksakuli, Arber Ruci, E'edresha Sturdivant, Zhigang Zhu
Improving Building Energy Efficiency through Data Analysis. e-Energy (Companion) (2023)
Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer
Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence. e-Energy (Companion) (2023)
Konstantin Hopf, Hannah Hartstang, Thorsten Staake
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting. e-Energy (Companion) (2023)
Rickard Brännvall, Tina Stark, Jonas Gustafsson, Mats Eriksson, Jon Summers
Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement. e-Energy (Companion) (2023)
Fabian Kächele, Oliver Grothe
Realtime temperature-adjusted natural gas savings of European private households: A study on the German gas market in 2022. e-Energy (Companion) (2023)
Ilana Heintz
Datasheets for Energy Datasets: An Ethically-Minded Approach to Documentation. e-Energy (Companion) (2023)
Rabab Haider, Yixing Xu, Weiwei Yang
Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid. e-Energy (Companion) (2023)
Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, e-Energy 2023, Orlando, FL, USA, June 20-23, 2023 e-Energy (Companion) (2023)
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder. e-Energy (Companion) (2023)
Alexander Golovin, Robert Basmadjian, Sergey Astafiev, Alexander S. Rumyantsev
Little's Law in a Single-Server System with Inactive State for Demand-Response in Data Centers with Green SLAs. e-Energy (Companion) (2023)
Syed Ahsan Raza Naqvi, Vikas Chandan, Saptarshi Bhattacharya, Na Luo, Koushik Kar, Chitra Sivaraman, Nikitha Radhakrishnan
Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings. e-Energy (Companion) (2023)
Tianyu Zhang, Omid Ardakanian
Investigating the Impact of Space Allocation Strategy on Energy-Comfort Trade-off in Office Buildings. e-Energy (Companion) (2023)
Alessandro Salatiello, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Yoshihiro Ohta, Yosuke Kaneko, Christopher R. Laughman, Ankush Chakrabarty
Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between? e-Energy (Companion) (2023)
Kenshiro Kato, Koki Iwabuchi, Daichi Watari, Dafang Zhao, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye
Exploring Models of Electricity Price Forecasting: Case Study on A FCAS Market. e-Energy (Companion) (2023)
Henrik Forsgren, Rickard Brännvall, Mattias Vesterlund, Tor Björn Minde
Homomorphic Encryption Enables Data and Algorithm Confidentiality for Remote Monitoring and Control: An Application to Data Center Systems. e-Energy (Companion) (2023)
Johannes Galenzowski, Simon Waczowicz, Veit Hagenmeyer
A new Data-Driven Approach for Comparative Assessment of Baseline Load Profiles Supporting the Planning of Future Charging Infrastructure. e-Energy (Companion) (2023)
Shimiao Li, Ján Drgona, Shrirang Abhyankar, Larry T. Pileggi
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning. e-Energy (Companion) (2023)
Kazuki Okazawa, Naoya Kaneko, Dafang Zhao, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye
Exploring of Recursive Model-based Non-Intrusive Thermal Load Monitoring for Building Cooling Load. e-Energy (Companion) (2023)