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ORCID14th e-Energy 2023: Orlando, FL, USA
- Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, e-Energy 2023, Orlando, FL, USA, June 20-23, 2023. ACM 2023
- DiAndra Phillip
, Jin Chen, Fani Maksakuli, Arber Ruci, E'edresha Sturdivant, Zhigang Zhu:
Improving Building Energy Efficiency through Data Analysis. 1-7 - 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. 8-20 - Fabian Kächele, Oliver Grothe:
Realtime temperature-adjusted natural gas savings of European private households: A study on the German gas market in 2022. 21-25 - Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer:
Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence. 26-31 - Konstantin Hopf, Hannah Hartstang, Thorsten Staake:
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting. 32-39 - Ilana Heintz:
Datasheets for Energy Datasets: An Ethically-Minded Approach to Documentation. 40-51 - Rabab Haider, Yixing Xu, Weiwei Yang:
Towards closing the data gap: A project-driven distributed energy resource dataset for the U.S. Grid. 52-58 - 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. 59-71 - 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. 72-78 - Rickard Brännvall, Tina Stark, Jonas Gustafsson, Mats Eriksson, Jon Summers:
Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement. 79-84 - 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. 85-90 - 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. 91-97 - 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. 98-105 - Shimiao Li, Ján Drgona, Shrirang Abhyankar, Larry T. Pileggi:
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning. 106-114 - 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. 115-119 - 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. 120-124 - 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? 125-133 - Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishnaiah:
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. 134-139 - 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. 140-144 - Tianyu Zhang, Omid Ardakanian:
Investigating the Impact of Space Allocation Strategy on Energy-Comfort Trade-off in Office Buildings. 145-149
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