An Efficient Detection and Prediction of Intrusion in Smart Grids Using Artificial Neural Networks-Reference-Cited by-同舟云学术

An Efficient Detection and Prediction of Intrusion in Smart Grids Using Artificial Neural Networks

Published:2024 Issue: Volume: Page:505-515
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Kumar Shilpa Mohan^ORCID,Velluri Rekha^ORCID,Dayananda Prakyath^ORCID,Nagaraj Sharmila^ORCID,Srikantaswamy Mallikarjunaswamy^ORCID,Chandrappa Kiran Yarehalli^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-97-0975-5_45

Reference19 articles.

1. Liang S et al (2020) Blockchain-based power grid data asset management architecture. In: 2020 international conference on computer science and management technology (ICCSMT), Shanghai, China, pp 207–211. https://doi.org/10.1109/ICCSMT51754.2020.00049

2. Gaur G, Mehta N, Khanna R, Kaur S (2017) Demand side management in a smart grid environment. In: 2017 IEEE international conference on smart grid and smart cities (ICSGSC), Singapore, pp 227–231. https://doi.org/10.1109/ICSGSC.2017.8038581

3. Mihaylov M, Jurado S, Avellana N, Van Moffaert K, de Abril IM, Nowé A (2014) NRGcoin: virtual currency for trading of renewable energy in smart grids. In: 11th international conference on the European energy market (EEM14), Krakow, Poland, pp 1–6. https://doi.org/10.1109/EEM.2014.6861213

4. Ben Farhat A, Adnene C (2021) The use of ANN for the load forecasting of the end-users in the smart grid. In: 2021 12th international renewable energy congress (IREC), Hammamet, Tunisia, pp 1–6. https://doi.org/10.1109/IREC52758.2021.9624860

5. Manimegalai M, Sebasthiarani K (2022) Efficient routing in smart grid communication by secured ABC–ANN algorithm. In: 2022 IEEE 7th international conference for convergence in technology (I2CT), Mumbai, India, pp 1–6. https://doi.org/10.1109/I2CT54291.2022.9824016