On the Involvement of Intelligent Technologies for Modeling of Energy Systems by Volterra Polynomials in Evolving Energy Ecosystems
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05778-6_24
Reference15 articles.
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3. Solodusha S (2018) Amplitudes of test signals for identification of volterra kernels. In: 2018 international conference on industrial engineering, applications and manufacturing (ICIEAM). IEEE, pp. 1–6. https://doi.org/10.1109/ICIEAM.2018.8728575
4. Fomin O, Medvedev A, Pavlenko V (2015) Technology of intelligent diagnostics based on Volterra kernels moments. In: 2015 IEEE 8th international conference on intelligent data acquisition and advanced computing systems: technology and applications (IDAACS), vol 2. IEEE, pp 796–801. https://doi.org/10.1109/IDAACS.2015.7341412
5. Cheng CM, Peng ZK, Zhang WM, Meng G (2017) Volterra-series-based nonlinear system modeling and its engineering applications: a state-of-the-art review. Mech Syst Signal Process 87:340–364. https://doi.org/10.1016/j.ymssp.2016.10.029
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