Suchergebnisse - "Data-driven Algorithms"

A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms von Zhang, Ming, Yang, Dongfang, Du, Jiaxuan, Sun, Hanlei, Li, Liwei, Wang, Licheng, Wang, Kai

“… As an important energy storage device, lithium-ion batteries (LIBs) have been widely used in various fields due to their remarkable advantages. The high level …”
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Foreground–background separation and video reconstruction using moment matching von Bhattacharjee, Debraj, Shakib, Mohammad Fahim, Astolfi, Alessandro

“… We study the foreground–background separation problem for a video stream in the moment matching framework. We first show how a video stream can be represented …”
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A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context von Rafiq, Hasan, Manandhar, Prajowal, Rodriguez-Ubinas, Edwin, Ahmed Qureshi, Omer, Palpanas, Themis

“… [Display omitted] •Review of the state-of-the-art data-driven methods for non-intrusive load monitoring.•Advanced NILM methods are accurate but more difficult …”
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Just-in-time based soft sensors for process industries: A status report and recommendations von Yeo, Wan Sieng, Saptoro, Agus, Kumar, Perumal, Kano, Manabu

“… Soft sensors are mathematical models employed to estimate hard-to-measure variables from available easy-to-measure variables. These sensors are typically …”
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Comparative analysis of data-driven electric vehicle battery health models across different operating conditions von Kumar, Roushan, Das, Kaushik, Krishna, Anurup

“… The work covers the development of a data-driven algorithm and computes the performance of learning models for lithium-ion battery state of health (SOH) …”
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Two-level hierarchical model predictive control with an optimised cost function for energy management in building microgrids von Yassuda Yamashita, Daniela, Vechiu, Ionel, Gaubert, Jean-Paul

“… [Display omitted] •Maximisation of self-consumption rate at minimum cost following the grid code.•Technical-economic analysis for hydrogen energy storage …”
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Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications von Tibaduiza Burgos, Diego A., Gomez Vargas, Ricardo C., Pedraza, Cesar, Agis, David, Pozo, Francesc

“… The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two …”
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A Practical Data-Driven Battery State-of-Health Estimation for Electric Vehicles von Khaleghi Rahimian, Saeed, Tang, Yifan

“… In this article, to estimate the battery state of health (SOH) under realistic electric vehicle (EV) conditions, a robust and efficient data-driven algorithm …”
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Optimal perfect corrective maintenance policy for a system with multiple components using data‐driven decision‐making methods von Misaii, Hasan, Fouladirad, Mitra, Haghighi, Firoozeh

“… This paper considers a multicomponent series system to be inspected periodically. It is assumed that the exact cause of system failure might be unknown, and we …”
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A methodological review of cost-effective data-driven fault detection and diagnosis in distributed photovoltaic systems von Liu, Yinyan, Duran, Earl, Bruce, Anna, Yildiz, Baran, Mendonca Severiano, Bernardo, Anwar Ibrahim, Ibrahim, Rispler, Jonathan, Martell, Chris, Rougieux, Fiacre

“… The rapid evolution of Photovoltaic (PV) technologies and the widespread adoption of PV systems highlight the growing need for more efficient and …”
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Machine learning empowered computer networks von Cerquitelli, Tania, Meo, Michela, Curado, Marilia, Skorin-Kapov, Lea, Tsiropoulou, Eirini Eleni

“… This special issue explores how emerging machine learning (ML) and artificial intelligence (AI) algorithms can help computer networks become smarter. The final …”
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Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems von Smith, Ethan, Variansyah, Ilham, McClarren, Ryan

“… We present a new approach to calculating time eigenvalues of the neutron transport operator (also known as eigenvalues) by extending the dynamic mode …”
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A CGAN-based adversarial attack method for data-driven state estimation von Wang, Qi, Zhang, Jing, Hu, Jianxiong, Wu, Shutan, Hou, Shiyi, Tang, Yi

“… •Security threats for power system state estimation problem are analyzed, especially cyber-attacks oriented to data-driven state estimation …”
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Predictive analysis of different mechanical parameters of concrete using an efficient data-driven algorithm and principal component analysis von Zhu, Xizhen, Lan, Xiang, Liu, Yitao

“… The superior mechanical characteristics of concrete have made it a versatile material for construction purposes. Therefore, it is important to have an early …”
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Massively Digitized Power Grid: Opportunities and Challenges of Use-Inspired AI von Xie, Le, Zheng, Xiangtian, Sun, Yannan, Huang, Tong, Bruton, Tony

“… This article presents a use-inspired perspective of the opportunities and challenges in a massively digitized power grid. It argues that the intricate …”
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Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant von Abba, S.I., Pham, Quoc Bao, Usman, A.G., Linh, Nguyen Thi Thuy, Aliyu, D.S., Nguyen, Quyen, Bach, Quang-Vu

“… Providing a robust and reliable model is essential for hydro-environmental and public health engineering perspectives, including water treatment plants (WTPs) …”
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A Data‐Driven Model to Predict Mutual Inductance Between Planar Coils With Arbitrary Specifications and Positions von Asadi, Mahdi, Abazari, Amir Musa

“… The accurate prediction of mutual inductance in inductive planar coils is a critical challenge in advancing wireless power transfer (WPT) systems, particularly …”
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Signal Generator Agnostic Moment Matching von Bhattacharjee, Debraj, Moreschini, Alessio, Astolfi, Alessandro

“… We study the model-reduction problem by moment matching for linear and nonlinear systems in a data-driven setting. We show that reduced-order models can be …”
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Disaggregation of total energy use into space heating and domestic hot water: A city-scale suited approach von Schaffer, Markus, Widén, Joakim, Vera-Valdés, J. Eduardo, Marszal-Pomianowska, Anna, Larsen, Tine Steen

“… This paper develops a computationally fast algorithm to disaggregate the total energy use recorded by smart heat meters into space heating (SH) and domestic …”
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Combined Model-Free Adaptive Control with Fuzzy Component by Virtual Reference Feedback Tuning for Tower Crane Systems von Roman, Raul-Cristian, Precup, Radu-Emil, Bojan-Dragos, Claudia-Adina, Szedlak-Stinean, Alexandra-Iulia

“… A novel mix of two data-driven algorithms is proposed in this paper. The mix of the algorithms aims to exploit the main advantage of data-driven Virtual …”
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