Scalable prediction of energy consumption using incremental time series clustering-Reference-Cited by-同舟云学术

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Scalable prediction of energy consumption using incremental time series clustering

Published:2013-10 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Big Data
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Author:

Simmhan Yogesh,Noor Muhammad Usman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6679357/6690588/06691774.pdf?arnumber=6691774

Cited by 21 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. Multi-Objective Optimisation for the Selection of Clusterings across Time;ITISE 2024;2024-07-17

2. Energy Consumption Forecasting Using Time Series Analysis Methods;Communications in Computer and Information Science;2024

3. A Longitudinal Study of Customer Electricity Load Profiles;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06

4. Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market;Energy;2022-03

5. Development of deep learning artificial neural networks models to predict temperature and power demand variation for demand response application in cold storage;International Journal of Refrigeration;2021-11

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