Intelligence as a Service: A Tool for Energy Forecasting and Security Awareness-Reference-Cited by-同舟云学术

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Intelligence as a Service: A Tool for Energy Forecasting and Security Awareness

Published:2021 Issue: Volume: Page:176-186
ISSN:1865-0929
Container-title:Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection
language:
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Author:

Wannous Sinan^ORCID,Praça Isabel^ORCID,Andrade Rui^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85710-3_15

Reference36 articles.

1. Raza, M.Q., Khosravi, A.: A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renew. Sustain. Energy Rev. 50, 1352–1372 (2015)

2. Hong, T., Pinson, P., Wang, Y., Weron, R., Yang, D., Zareipour, H.: Energy forecasting: a review and outlook. IEEE Open Access J. Power Energy 7, 376–388 (2020)

3. Antonopoulos, I., et al.: Artificial intelligence and machine learning approaches to energy demand-side response: a systematic review. Renew. Sustain. Energy Rev. 130, 109899 (2020)

4. Ahmad, T., Chen, H.: A review on machine learning forecasting growth trends and their real-time applications in different energy systems. Sustain. Cities Soc. 54, 102010 (2020)

5. Deb, C., Zhang, F., Yang, J., Lee, S.E., Shah, K.W.: A review on time series forecasting techniques for building energy consumption. Renew. Sustain. Energy Rev. 74, 902–924 (2017)

Cited by 1 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. Multiple Domain Security Awareness for Factories of the Future;Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection;2022

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