Individual Load Forecasting for Multi-Customers with Distribution-aware Temporal Pooling-Reference-Cited by-同舟云学术

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Individual Load Forecasting for Multi-Customers with Distribution-aware Temporal Pooling

Published:2021-05-10 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
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Author:

Yang Eunju,Youn Chan-Hyun

Funder

Electronics and Telecommunications Research Institute

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9488422/9488423/09488816.pdf?arnumber=9488816

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatio-temporal communication network traffic prediction method based on graph neural network;Information Sciences;2024-09

2. Automated Hyperparameter Tuning for Adaptive Cloud Workload Prediction;Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing;2023-12-04

3. A Global Modeling Framework for Load Forecasting in Distribution Networks;IEEE Transactions on Smart Grid;2023-11

4. Transformer training strategies for forecasting multiple load time series;Energy Informatics;2023-10-19

5. One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

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