Deep Learning for Short-Term Instant Energy Consumption Forecasting in the Manufacturing Sector-Reference-Cited by-同舟云学术

Deep Learning for Short-Term Instant Energy Consumption Forecasting in the Manufacturing Sector

Published:2022-12-13 Issue: Volume: Page:165-175
ISSN:2367-3370
Container-title:Distributed Computing and Artificial Intelligence, 19th International Conference
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Author:

Oliveira Nuno^ORCID,Sousa Norberto^ORCID,Praça Isabel^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20859-1_17

Reference28 articles.

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3. Zhou, Y., Zheng, S.: Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities. Appl. Energy 262, 114416 (2020)

4. Salkuti, S.R.: Day-ahead thermal and renewable power generation scheduling considering uncertainty. Renew. Energy 131, 956–965 (2019)

5. Mori, H., Ohmi, M.: Probabilistic short-term load forecasting with gaussian processes. In: Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems, pp. 6-pp. IEEE (2005)

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