Letteratura scientifica selezionata sul tema "Predictive-Reactive strategy"
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Articoli di riviste sul tema "Predictive-Reactive strategy":
Tighazoui, Ayoub, Christophe Sauvey e Nathalie Sauer. "Predictive-reactive strategy for identical parallel machine rescheduling". Computers & Operations Research 134 (ottobre 2021): 105372. http://dx.doi.org/10.1016/j.cor.2021.105372.
Kalinowski, Krzysztof, Damian Krenczyk e Cezary Grabowik. "Predictive - Reactive Strategy for Real Time Scheduling of Manufacturing Systems". Applied Mechanics and Materials 307 (febbraio 2013): 470–73. http://dx.doi.org/10.4028/www.scientific.net/amm.307.470.
Di, Zhengfei, Demin Xu e Kehan Zhang. "Continuous Control Set Model Predictive Control for an Indirect Matrix Converter". Energies 14, n. 14 (8 luglio 2021): 4114. http://dx.doi.org/10.3390/en14144114.
Zhang, Ming Guang, e Xiao Jing Chen. "Control Strategy of Low Voltage Ride-Through for Grid-Connected Photovoltaic Power System Based on Predictive Current". Applied Mechanics and Materials 556-562 (maggio 2014): 1753–56. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1753.
Nawaz, Muhammad, Muhammad Asghar Saqib, Syed Abdul Rahman Kashif e Mehr Gul. "Constrained model predictive control for an induction heating load". Transactions of the Institute of Measurement and Control 41, n. 1 (28 marzo 2018): 210–18. http://dx.doi.org/10.1177/0142331218758887.
MELLAH, Hacene, Amar MAAFA, Hamza SAHRAOUI, Abdelghani YAHIOU e Houria SMAIL. "Generalized Predictive Control of the Active and Reactive Stator Powers of the DFIG for Wind Energy Generation". Eurasia Proceedings of Science Technology Engineering and Mathematics 26 (30 dicembre 2023): 295–305. http://dx.doi.org/10.55549/epstem.1409597.
Zhu, Jian-hong, Pengkun Zhang, Xinsong Zhang, Lin Qin, Chengxiang Sun e Han Li. "Model Predictive Control on Transient Flux Linkage and Reactive Power Compensation of Doubly Fed Induction Wind Generator". International Journal of Energy Research 2024 (5 marzo 2024): 1–15. http://dx.doi.org/10.1155/2024/6648691.
Tighazoui, Ayoub, Christophe Sauvey e Nathalie Sauer. "Predictive-reactive Strategy for Flowshop Rescheduling Problem: Minimizing the Total Weighted Waiting Times and Instability". Journal of Systems Science and Systems Engineering 30, n. 3 (19 aprile 2021): 253–75. http://dx.doi.org/10.1007/s11518-021-5490-8.
Rahima, Bachar, Golea Amar, Benchouia Mohamed Toufik e Chebaani Mohamed. "High-performance active power filter implementation based on predictive current control". International Journal of Power Electronics and Drive Systems (IJPEDS) 10, n. 1 (1 marzo 2019): 277. http://dx.doi.org/10.11591/ijpeds.v10.i1.pp277-287.
He, Tingting, Dylan Dah-Chuan Lu, Mingli Wu, Qinyao Yang, Teng Li e Qiujiang Liu. "Four-Quadrant Operations of Bidirectional Chargers for Electric Vehicles in Smart Car Parks: G2V, V2G, and V4G". Energies 14, n. 1 (31 dicembre 2020): 181. http://dx.doi.org/10.3390/en14010181.
Tesi sul tema "Predictive-Reactive strategy":
Tighazoui, Ayoub. "Ré-ordonnancement des systèmes de production flexibles avec contraintes de blocage mixtes soumis à des aléas de commandes ou de production". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0187.
Today’s digital transformation has definitely changed the customers practices. In fact, through the new information and communication tools, a customer can at any time create, modify, or cancel an order. These unexpected events have a direct impact on the work organization of the production unit, generating a disruption of the already established schedule. Therefore, a rescheduling process is necessary for efficiently revising the existing schedule, preferably with less movements. In this Ph.D, mathematical models and optimization methods are developed for rescheduling problems, under different types of disruptions, in several machine environments. The performance of the obtained solutions is measured with a new criterion, simultaneously combining the schedule efficiency and stability.The predictive-reactive scheduling strategy has been adopted in this work. It consists, in the predictive phase, to solve a classical scheduling problem minimizing the Total Weighted Waiting Time (TWWT) of the jobs, regarded as the schedule efficiency criterion. After the disruption appearance, the reactive phase starts. It consists in updating the initial problem by modifying its data, then solving the new rescheduling problem with the objective of minimizing the TWWT combined with a stability criterion. The schedule stability is measured with the Total Weighted Completion Time Deviation (TWCTD). This association of criteria is significant, and it can be very helpful in industrial applications, where the job waiting time estimates the duration that the job has waited in front of a workstation. The stability criterion is then used for limiting the deviation from the already established schedule, since this matter generates supplementary costs.This approach has been applied for different machine environments. Firstly, on a single machine, illustrating the case of a single workstation. Secondly, on parallel machines, describing the case of identical workstations. Finally, on a flowshop system where a set of jobs are treated in the same order by a set of machines. The flowshop rescheduling problem is also considered with mixed blocking constraints.These rescheduling problems have firstly been modeled as Mixed Integer Linear Programing (MILP) models. Due to their NP-hard complexity, the resolution is only possible for a limited number of jobs. Thus, heuristic methods have been designed, exploring more jobs in a reasonable time. The proposed methods have been discussed and analyzed, both in terms of solution quality and computing time
Capitoli di libri sul tema "Predictive-Reactive strategy":
Gao, CaiXia, FuZhong Wang e ZiYi Fu. "Reactive Power Predictive Compensation Strategy for Heavy DC Hoist". In Proceedings of 2016 Chinese Intelligent Systems Conference, 313–21. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2335-4_30.
Karthigaiselvan, K., e Rames Chandra Panda. "Implementation of MPC Strategy in Reactive Separation Techniques and Its Benefits: A Demonstration with Natural Gas Sweetening Process". In Model Predictive Control - Theory and Applications [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1001101.
Atti di convegni sul tema "Predictive-Reactive strategy":
Chen, Tianhua, Jianhua Chen, Zhaoyang Yan, Yifeng Li, Yun Chai e Lei Du. "Voltage Control Strategy Considering Dynamic Reactive Reserve Margin Under Predictive Fault". In 2021 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE, 2021. http://dx.doi.org/10.1109/ispec53008.2021.9735982.
Gogov, Bogdancho. "PREDICTIVE POLICING". In SECURITY HORIZONS. Faculty of Security- Skopje, 2023. http://dx.doi.org/10.20544/icp.8.1.23.p20.
Rojas, Diego, Marco Rivera, Sergio Toledo e Patrick Wheeler. "Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter". In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). IEEE, 2021. http://dx.doi.org/10.1109/icaacca51523.2021.9465205.
Tonellato, Giulio, Michaël Kummert, José Candanedo, Gabrielle Beaudry e Philippe Pasquier. "An exploration of a heuristic predictive control strategy for ground source heat pumps coupled to standing column wells". In International Ground Source Heat Pump Association. International Ground Source Heat Pump Association, 2024. http://dx.doi.org/10.22488/okstate.24.000033.
CASTRO, ALLAN GREGORI DE, PAULO ROBERTO UBALDO GUAZZELLI, STEFAN THIAGO CURY ALVES DOS SANTOS, WILLIAM CéSAR DE ANDRADE PEREIRA, CARLOS MATHEUS RODRIGUES DE OLIVEIRA, GEYVERSON TEIXEIRA DE PAULA e JOSé ROBERTO BOFFINO DE ALMEIDA MONTEIRO. "Finite Control-Set Model Predictive Torque Control of Nonsinusoidal PMSM: a Generalized Approach for Torque Ripple Mitigation and MTPA Operation". In Seminar on Power Electronics and Control (SEPOC 2021). sepoc, 2021. http://dx.doi.org/10.53316/sepoc2021.024.
Romdhanne, Bilel Ben, Mourad Boudia e Nicolas Bondoux. "Amadeus Migration Process a Simulation-Driven Process to Enhance the Migration to a Multi-Cloud Environment". In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131308.
Cateriano Yáñez, Carlos, Jörg Richter, Georg Pangalos, Gerwald Lichtenberg e Javier Sanchís Saez. "Active Power Filter Shape Class Model Predictive Controller tuning by Multiobjective Optimization". In CARPE Conference 2019: Horizon Europe and beyond. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/carpe2019.2019.10166.
Fard, Hamed Javaheri, Hamid Reza Najafi e Ghodratollah Heidari. "Design of discrete predictive direct power control strategy on the doubly-fed induction generator based on Micro-Hydro Power Plant with the aim of active and reactive powers control". In 2016 21st Conference on Electrical Power Distribution Networks Conference (EPDC). IEEE, 2016. http://dx.doi.org/10.1109/epdc.2016.7514794.
Sivanuja, T., e YG Sandanayake. "Industry 4.0 enabled predictive maintenance of facilities: A study on applicability, benefits and challenges". In 10th World Construction Symposium. Building Economics and Management Research Unit (BEMRU), University of Moratuwa, 2022. http://dx.doi.org/10.31705/wcs.2022.47.
Zhong, Qian, e Ronald W. Yeung. "Performance of a Wave-Energy-Converter Array Operating Under Model-Predictive Control Based on a Convex Formulation". In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-78739.