Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Enrico Anderlini"'
Publikováno v:
Energies, Vol 17, Iss 20, p 5112 (2024)
Wave energy holds significant promise as a renewable energy source due to the consistent and predictable nature of ocean waves. However, optimizing wave energy devices is essential for achieving competitive viability in the energy market. This paper
Externí odkaz:
https://doaj.org/article/e2a4c3fd26b347a1a7dd176019f8549b
Publikováno v:
IEEE Access, Vol 11, Pp 67979-67986 (2023)
Machine learning-based methodologies have recently been adapted to solve control problems. The Neural Lyapunov Control (NLC) method is one such example. This approach combines Artificial Neural Networks (ANNs) with Satisfiability Modulo Theories (SMT
Externí odkaz:
https://doaj.org/article/8329f8a68f75446aa736bf6228b0cf3e
Publikováno v:
Energies, Vol 17, Iss 1, p 6 (2023)
The motivation and focus of this work is to generate passive transfer function matrices that model the radiation forces for an array of WECs. Multivariable control design is often based on linear time-invariant (LTI) systems such as state-space or tr
Externí odkaz:
https://doaj.org/article/71a3baafd0a6496caced3522b7f8905a
Publikováno v:
IEEE Access, Vol 9, Pp 132569-132579 (2021)
Isolated microgrids powered by renewable energy sources, battery storage, and backup diesel generators need appropriate demand response to utilize available energy and reduce diesel consumption efficiently. However, real-time demand-side management h
Externí odkaz:
https://doaj.org/article/f862fdb8776d4cf98d161f8ba450ee4f
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 9, p 951 (2021)
The most accurate wave energy converter models for heaving point absorbers include nonlinearities, which increase as resonance is achieved to maximize the energy capture. Over the power production spectrum and within the physical limits of the device
Externí odkaz:
https://doaj.org/article/a965c11123f54a08a9a21716e483dae5
Autor:
Khawaja Haider Ali, Marvin Sigalo, Saptarshi Das, Enrico Anderlini, Asif Ali Tahir, Mohammad Abusara
Publikováno v:
Energies, Vol 14, Iss 18, p 5688 (2021)
Grid-connected microgrids consisting of renewable energy sources, battery storage, and load require an appropriate energy management system that controls the battery operation. Traditionally, the operation of the battery is optimised using 24 h of fo
Externí odkaz:
https://doaj.org/article/7ccb6645b5954f309194e89a7de28aaa
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 5, p 500 (2021)
Underwater transportation is an essential approach for scientific exploration, maritime construction and military operations. Determining the hydrodynamic coefficients for a complex underwater transportation system comprising multiple vehicles is cha
Externí odkaz:
https://doaj.org/article/f0e5396cc6a74a3b8e71ae66965e1f7b
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1829 (2021)
Recurrent Neural Networks (RNNs) are increasingly being used for model identification, forecasting and control. When identifying physical models with unknown mathematical knowledge of the system, Nonlinear AutoRegressive models with eXogenous inputs
Externí odkaz:
https://doaj.org/article/dd1e6f4ea9614e7c9fa9a87e9c87acbd
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 11, p 845 (2020)
The levellised cost of energy of wave energy converters (WECs) is not competitive with fossil fuel-powered stations yet. To improve the feasibility of wave energy, it is necessary to develop effective control strategies that maximise energy absorptio
Externí odkaz:
https://doaj.org/article/93990820d86644e394b25586c04ab6cc
Publikováno v:
Journal of Marine Science and Engineering, Vol 8, Iss 10, p 771 (2020)
To estimate the response of wave energy converters to different sea environments accurately is an ongoing challenge for researchers and industry, considering that there has to be a balance between guaranteeing their integrity whilst extracting the wa
Externí odkaz:
https://doaj.org/article/626f145e9468400498c03dc27a59d9bc