Treffer: Uma Estratégia Cognitiva de Recuperação de Redes Elétricas no Contexto do Smart Grid

{"references": ["AAMODT A.; PLAZA, E. Case-based reasoning: foundational issues, methodological variations, and system approaches. v. 7, n. 1, p. 39{59. [S.l.]: AI Commun., IOS Press, 1994.", "ABDELAZIZ, A. Y. et al. Distribution system reconguration using a modied tabu search algorithm. Electric Power Systems Research, Elsevier, v. 80, n. 8, p. 943{953, 2010.", "Atteya, I. I. et al. Distribution network reconguration in smart grid system using modi- ed particle swarm optimization. In: 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA). [S.l.: s.n.], 2016. p. 305{313.", "Ayoubi, S. et al. Machine learning for cognitive network management. IEEE Communications Magazine, v. 56, n. 1, p. 158{165, Jan 2018. ISSN 0163-6804.", "BEASLEY, D.; BULL, D.; MARTIN, R. An overview of genetic algorithms: Pt1, fundamentals. University Computing, v. 15, p. 58 { 69, 1993. ISSN 0265-4385.", "BEZERRA, R.; CALHAU, F.; MARTINS, J. A Framework to Support Smart Grid Solutions with Ubiquitous , Autonomic and Real-Time Features Targeting the Sustainable Use of Renewable Power. Journal of Selected Areas in Renewable Energy, v. 3, n. 10, p. 1{6, out. 2013. ISSN 1925-2676.", "BI T.; NI, Y. S.-M. Ecient multiway graph partitioning method for fault section estimation in large-scale power networks. Vol. 149, no. 3, pp. 289-294. [S.l.]: IEE Proceedings, Generation, transmission and distribution, 2002.", "Bose, B. K. Articial intelligence techniques in smart grid and renewable energy systems| some example applications. Proceedings of the IEEE, v. 105, n. 11, p. 2262{2273, Nov 2017. ISSN 0018-9219.", "BUDKA, K. et al. GERI - Bell Labs smart grid research focus: Economic modeling, networking, and security & privacy. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm). [S.l.: s.n.], 2010. p. 208{213.", "Burkov, E. A.; Lyubkin, P. L.; Paderno, P. I. Intellectual systems - the future of expert assessment. In: 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM). [S.l.: s.n.], 2017. p. 34{36.", "CALHAU, F.; BEZERRA, R.; MARTINS, J. An autonomic and ubiquitous framework for smart grid management. International Journal of Innovative Computing, Information and Control, v. 11, p. 1369-1397, 08 2015.", "CALHAU, F.; BEZERRA, R. Martins da S.; MARTINS, J. S. B. The R Approach for Modeling a Reconguration Problem in Smart Grid Networks. In: Proceedings of the 3rd International Workshop on ICT Infrastructures and Services (ADVANCE). Miami, 2014. p. 1-7.", "CALHAU, F. G.; BEZERRA, R. M. d. S.; MARTINS, J. S. B. Especifica\u00e7\u00e3o de Requisitos e Modelagem Conceitual de um Arcabou\u00e7o para o Suporte de Solu\u00e7\u00f5es Smart Grid. In: Anais do VIII - Congresso Norte Nordeste de Pesquisa e Inova\u00e7\u00e3o. Salvador, Brasil: IFBA, 2013. p. 31-37.", "CALHAU, F. G.; BEZERRA, R. M. d. S.; MARTINS, J. S. B. Smart Grids: Caracter\u00edsticas, Requisitos e Perspectivas. E.T.C. Educa\u00e7\u00e3o, Tecnologia e Cultura, v. 10, p. 17-30, 2014.", "CALHAU, F. G.; MARTINS, J. On evaluating power loss with hatsga algorithm for power network reconguration in the smart grid. 5th International Workshop on ICT Infrastructures and Services - ADVANCE, 2017.", "CALHAU, F. G.; MARTINS, J.; BEZERRA, R. M. Hybrid algorithm based on genetic algorithm and tabu search for reconguration problem in smart grid networks using \"r\". 4th International Workshop on ICT Infrastructures and Services - ADVANCE, 2015.", "CALHAU, F. G.; MARTINS, J. S. B. A Electric Network Reconguration Strategy with Case-Based Reasoning for the Smart Grid. In: Proceedings of the 8th Brazilian Conference on Intelligent Systems - BRACIS. Salvador, Brazil: SBC - Brazilian Computer Society, 2019. p. 1-6.", "CALHAU F.; MARTINS, J.; et. al. Smart Grid e IEC 61850: Novos Desafios em Redes e Telecomunica\u00e7\u00f5es para o Sistema El\u00e9trico. Brasilia-df: XXX SBrT - Simp\u00f3sio Brasileiro de Telecomunica\u00e7\u00f5es, 2012.", "CARRENO E.; ROMERO, R. F. A. An Ecient Codication to Solve Distribution Network for Loss Reduction Problem. vol. 23, no. 4, pp. 1542-1551. [S.l.]: IEEE Transactions on Power Systems, 2008.", "CHAI S.; SEKAR, A. Graph theory application to deregulated power system. pp. 117-121. [S.l.]: Proceeding of the 33rd IEEE Southeastern Symposium on System Theory, 2001.", "CHANG, H.-C.; KUO, C.-C. Network reconguration in distribution systems using simulated annealing. Electric Power Systems Research, v. 29, n. 3, p. 227 - 238, 1994. ISSN 0378-7796. Disponvel em: hhttp://www.sciencedirect.com/science/article/ pii/0378779694900183i.", "Chatterjee, S.; Mandal, S. A novel comparison of gauss-seidel and newton- raphson methods for load ow analysis. In: 2017 International Conference on Power and Embedded Drive Control (ICPEDC). [S.l.: s.n.], 2017. p. 1-7.", "CHEN, J.; ZHANG, F.; ZHANG, Y. Distribution network reconguration based on simulated annealing immune algorithm. Energy Procedia, v. 12, p. 271-277, 2011. ISSN 1876- 6102. The Proceedings of International Conference on Smart Grid and Clean Energy Technologies - ICSGCE 2011. Dispon\u00edvel em: hhttp://www.sciencedirect.com/science/article/ pii/S1876610211018637.", "CHENG, C. S.; SHIRMOHAMMADI, D. A three-phase power ow method for real-time distribution system analysis. IEEE Transactions on Power Systems, IEEE, v. 10, n. 2, p. 671-679, 1995.", "CHIANG, H.-D.; JEAN-JUMEAU, R. Optimal network recongurations in distribution systems. ii. solution algorithms and numerical results. IEEE transactions on Power delivery, IEEE, v. 5, n. 3, p. 1568-1574, 1990.", "CIVANLAR, S. et al. Distribution feeder reconguration for loss reduction. IEEE Transactions on Power Delivery, IEEE, v. 3, n. 3, p. 1217-1223, 1988.", "CIVANLAR, S. et al. Distribution feeder reconguration for loss reduction. Power Delivery, IEEE Transactions on, v. 3, p. 1217-1223, 08 1988.", "COELLO, C. A. C. et al. Evolutionary algorithms for solving multi-objective problems. [S.l.]: Springer, 2007.", "CORMEN, T. H. Introduction to algorithms. [S.l.]: MIT press, 2009.", "CREDER, H. (Ed.). Instala\u00e7\u00f5es El\u00e9tricas. [S.l.]: LTC, 2016. 479 p. ISBN 9788521625940.", "de Andrade, B. A. R.; Ferreira, N. R. Simulated annealing and tabu search applied on network reconguration in distribution systems. In: 2018 Simposio Brasileiro de Sistemas Eletricos (SBSE). [S.l.: s.n.], 2018. p. 1{6.", "DEB, K. et al. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: Nsga-ii. In: SPRINGER. International Conference on Parallel Problem Solving From Nature. [S.l.], 2000. p. 849-858.", "Dehalwar, V.; Kalam, A.; Zayegh, A. Infrastructure for real-time communication in smart grid. In: 2014 Saudi Arabia Smart Grid Conference (SASG). [S.l.: s.n.], 2014. p. 1{4.", "DEMESTICHAS, P. et al. m@angel: Autonomic management platform for seamless cognitive connectivity to the mobile internet. IEEE Communications Magazine, Institute of Electrical and Electronics Engineers Inc., v. 44, n. 6, p. 118-127, 6 2007. ISSN 0163-6804.", "Demestichas, P. et al. mangel: autonomic management platform for seamless cognitive connectivity to the mobile internet. IEEE Communications Magazine, v. 44, n. 6, p. 118-127, June 2012. ISSN 0163-6804.", "DFKI, C. C. at; COMPUTING the School of; UWL, T. at. An open-source similaritybased retrieval tool. accessed June 9, 2018. Dispon\u00edvel em: hhttp://www.mycbr-project. net/.i", "D'IPPOLITO, R. A Framework for Building Intelligent Systems. accessed July 1, 2018. Dispon\u00edvel em: hhttps://protege.stanford.edui.", "DOUGLAS, J. Grid security in the 21st century: the story in brief. vol. summer 2005, p. 26.33. [S.l.]: Electric Power Research Institue Journal, 2005.", "DUAN, D.-L. et al. Reconguration of distribution network for loss reduction and reliability improvement based on an enhanced genetic algorithm. International Journal of Electrical Power Energy Systems, v. 64, p. 88 { 95, 2015. ISSN 0142-0615. Dispon\u00edvel em: hhttp://www.sciencedirect.com/science/article/pii/S0142061514004682i.", "ENGINEERING, U. W. E. Power Systems Test Case Archive. 2017. Dispon\u00edvel em: hhttps://www2.ee.washington.edu/research/pstca/i.", "Esmaeilian, H. R. et al. Bardsir network reconguration using graph theory-based binary genetic algorithm to reduce loss and improve voltage prole. In: 2012 Proceedings of 17th Conference on Electrical Power Distribution. [S.l.: s.n.], 2012. p. 1-10.", "FERREIRA, A.; LEIT\u00c3O, P.; VRBA, P. Challenges of ict and articial intelligence in smart grids. In: . [S.l.: s.n.], 2014.", "FORTUNA, C.; MOHORCIC, M. Trends in the development of communication networks: Cognitive networks. Comput. Netw., Elsevier North-Holland, Inc., New York, NY, USA, v. 53, n. 9, p. 1354-1376, jun. 2009. ISSN 1389-1286. Dispon\u00edvel em: hhttp://dx.doi.org/ 10.1016/j.comnet.2009.01.002i.", "GALLEGO R.; MONTICELLI, A. R. R. Optimal Capacitor Placement in Radial Distribution Networks. No.4, nov. [S.l.]: IEEE Trans. on PWRS-16, 2001.", "GANEK, G. C. T. The Dawning of the Autonomic Computing Era. J 42(1):5{18. [S.l.]: IBM System, 2003.", "GARCIA V.; FRANCA, P. Multiobjective Tabu Search for service restoration in electric distribution networks. Russia. [S.l.]: in Power Tech., 2005.", "GLOVER, F. Tabu Search - Part 1. Vol. 1, no. 3, pp. 190-206. [S.l.]: ORSA Journal on Computing, 1989.", "GLOVER, F. Tabu search|part i. ORSA Journal on computing, INFORMS, v. 1, n. 3, p. 190{206, 1989.", "GLOVER, J. D.; SARMA, M. S.; OVERBYE, T. Power System Analysis & Design, SI Version. [S.l.]: Cengage Learning, 2012.", "GOLDBERG, D. E.; HOLLAND, J. H. Genetic algorithms and machine learning. Machine learning, Springer, v. 3, n. 2, p. 95-99, 1988.", "GOMES, A. Uma introdu\u00e7\u00e3o \u00e0 busca tabu. Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, Instituto de Matem\u00e1tica e Estat\u00edstica, Universidade de S\u00e3o Paulo, 2009.", "Gomes, F. V. et al. A new heuristic reconguration algorithm for large distribution systems. IEEE Transactions on Power Systems, v. 20, n. 3, p. 1373-1378, Aug 2005. ISSN 0885-8950.", "Goswami, S. K.; Basu, S. K. A new algorithm for the reconguration of distribution feeders for loss minimization. IEEE Transactions on Power Delivery, v. 7, n. 3, p. 1484-1491, July 1992. ISSN 0885-8977.", "GUIMAR\u00c3ES, M. A. d. N. Reconfigura\u00e7\u00e3o de sistemas de distribui\u00e7\u00e3o de energia el\u00e9trica utilizando algoritmos de busca tabu. Tese (Doutorado) - Unicamp, 2005.", "GUNGOR, V. et al. Smart grid technologies: Communication technologies and standards. IEEE Transactions on Industrial Informatics, v. 7, n. 4, p. 529-539, nov. 2011.", "GUO, P. W.; HAN., Y. The enhanced genetic algorithms for the optimization design. 3rd international conference on, pp.2990-2994. ed. [S.l.]: Biomedical Engineering and Informatics (BMEI), 2010.", "GUPTA, N.; SWARNKAR, A.; NIAZI, K. Distribution network reconguration for power quality and reliability improvement using genetic algorithms. International Journal of Electrical Power & Energy Systems, Elsevier, v. 54, p. 664-671, 2014.", "HAUGHTON D.; HEYDT, G. Smart distribution system design: Automatic reconguration for improved reliability. in proc. pp. 1-8. [S.l.]: IEEE Power and Energy Society General Meeting, 2010.", "Haykin, S. et al. Cognitive control. Proceedings of the IEEE, v. 100, n. 12, p. 3156-3169, Dec 2012. ISSN 0018-9219.", "HONG Y.; SATAL, I. Genetic algorithm based network reconguration for loss minimization in distribution systems. vol. 1. [S.l.]: IEEE Power Engineering Society General Meeting, 2003.", "HORN, P. Autonomic Computing: IBM perspective on the state of information technology. [S.l.]: IBM T.J. Watson Labs, 2001.", "HSIAO, Y.-T.; CHIEN, C.-Y. Enhancement of restoration service in distribution systems using a combination fuzzy-ga method. IEEE Transactions on Power Systems, IEEE, v. 15, n. 4, p. 1394-1400, 2000.", "IGRAPH, D. C. T. igraph { The network analysis package. [S.l.]: R Foundation for Statistical Computing, 2016. Dispon\u00edvel em: http://igraph.org/.";, "IRVING, M.; LUAN, W.; DANIEL, J. Supply restoration in distribution networks using a genetic algorithm. International journal of electrical power & energy systems, Elsevier, v. 24, n. 6, p. 447{457, 2002.", "Jennings, B. et al. Towards autonomic management of communications networks. IEEE Communications Magazine, v. 45, n. 10, p. 112{121, October 2007. ISSN 0163-6804.", "JIANG, G. Autonomic Computing: Concepts, Infrastructure, and Applications. [S.l.: s.n.], 2006. ISBN 9781315221564.", "JOHN, E. K. Cognitive Computing: The Future of Knowing. 2015. Dispon\u00edvel em: hhttps: //cds.nyu.edu/ai/wp-content/uploads/2015/10/johnn kellyn presentation.pdf", "JRAD, Z. et al. Articial intelligence techniques in the dynamic negotiation of QoS: A user interface for the internet new generation. In: GATI, D. et al. (Ed.). Autonomic Networking. [S.l.]: Springer Berlin Heidelberg, 2006. p. 146{158. ISBN 978-3-540-45893-7.", "JUNIOR, C. B. R. Um m\u00e9todo de fluxo de carga n\u00e3o iterativo como ferramenta para estudos de colapso de tens\u00e3o. 2007.", "KAGAN N., S. P. O. C. Problema da Reconfigura\u00e7\u00e3o da Rede em Situa\u00e7\u00e3o de Conting^\u00eancia. p. 119. S\u00e3o Paulo: Blucher, 2009.", "KAPPAGANTU, R.; DANIEL, S. A. Challenges and issues of smart grid implementation: A case of indian scenario. Journal of Electrical Systems and Information Technology, v. 5, n. 3, p. 453 { 467, 2018. ISSN 2314-7172. Dispon\u00edvel em: hhttp://www.sciencedirect.com/ science/article/pii/S2314717218300175i.", "KELLY, J. Computing, cognition and the future of knowing. How humans and machines are forging a new age of understanding. 2017. Dispon\u00edvel em: hhttp://www.digintel.net/ wp-content/uploads/2017/11/Computingn Cognitionn WhitePaper.pdfi.", "KEPHARD, J. C. D. The Vision of Autonomic Computing. Computer, 36(1):41-50. [S.l.]: IBM System, 2003.", "KEPHART, J.; DAS, R. Achieving self-management via utility functions. Internet Computing, IEEE, v. 11, p. 40{48, 02 2007.", "Khurana, H. et al. Smart-grid security issues. IEEE Security Privacy, v. 8, n. 1, p. 81{85, Jan 2010. ISSN 1540-7993.", "Krishna, P. N. et al. Fuzzy logic based smart home energy management system. In: 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT). [S.l.: s.n.], 2018. p. 1{5.", "KUMAR, K. K. et al. State of art for network reconguration methodologies of distribution system. Journal of Theoretical & Applied Information Technology, v. 57, n. 1, 2013.", "KUMAR K.; RAMANA, V. K. S. N. P. Implementation of genetic algorithm for distribution systems loss minimum re-conguration. 57(1): p. 25-40.. ed. [S.l.]: Journal of Theoretical and Applied Information Technology, 2013.", "LANDEROS, A.; KOZIEL, S.; ABDEL, M. F. Distribution network reconguration using one rank cuckoo search algorithm. GMSARN International Journal, v. 10, 12 2016.", "LIU, L.; CHEN, X. Reconguration of distribution networks based on fuzzy genetic algorithms. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, v. 20, p. 66{69, 02 2000.", "LORENZETTI, J. F. C. Reconfigura\u00e7\u00e3o de sistemas de distribui\u00e7\u00e3o de energia el\u00e9trica para a melhoria das condi\u00e7\u00f5es de opera\u00e7\u00e3o com rela\u00e7\u00e3o a estabilidade de tens\u00e3o. Tese (Doutorado) | Unicamp, 2004.", "LUAN W. IRVING M., D. J. Genetic Algorithm For Supply Restoration And Optimal Load Shedding In Power System Distribution Networks. Vol. 149, no. 2, march, pp. 145- 151. [S.l.]: IEE Proceedings - Generation, Transmission and Distribution, 2002.", "Ma, R. et al. Smart grid communication: Its challenges and opportunities. IEEE Transactions on Smart Grid, v. 4, n. 1, p. 36{46, March 2013. ISSN 1949-3053.", "MAURER, S. B. Matrix generalizations of some theorems on trees, cycles and cocycles in graphs. Siam Journal on Applied Mathematics - SIAMAM, v. 30, 01 1976.", "McDermott, T. E.; Drezga, I.; Broadwater, R. P. A heuristic nonlinear constructive method for distribution system reconguration. IEEE Transactions on Power Systems, v. 14, n. 2, p. 478{483, May 1999. ISSN 0885-8950.", "McDermott, T. E.; Drezga, I.; Broadwater, R. P. A heuristic nonlinear constructive method for distribution system reconguration. IEEE Transactions on Power Systems, v. 14, n. 2, p. 478{483, May 1999. ISSN 0885-8950.", "MENDOZA J.; LOPEZ, R. M. D. Minimal loss reconguration using genetic algorithms with restricted population and addressed operators: Real application. vol. 21, no. 2, pp. 948-54. [S.l.]: IEEE Transactions on Power Systems., 2006.", "MERDAN M.; LEPUSCHITZ, W. S. V. A. F. Multi-Agent system for self-optimizing power distribution grids. pp. 312-317. [S.l.]: IEEE International Conference on Automation, Robotics and Applications, 2011.", "MILASZEWICZ, J. P. Improving jacobi and gauss-seidel iterations. Linear Algebra and Its Applications, Elsevier, v. 93, p. 161{170, 1987.", "MIRANDA V.; RANITO, J. V. P. L. M. Genetic algorithms in optimal multi-stage distribution network planning. Ieee transactions on power systems, vol.9, n. 4. [S.l.]: Biomedical Engineering and Informatics (BMEI), 1994.", "MITCHELL, R.; CHAMBERS, B.; ANDERSON, A. Array pattern control in the complex plane optimised by a genetic algorithm. In: IET. Antennas and Propagation, Tenth International Conference on (Conf. Publ. No. 436). [S.l.], 1997. v. 1, p. 330{333.", "Mohanty, S.; Akyildiz, I. F. A cross-layer (layer 2 + 3) hando management protocol for next-generation wireless systems. IEEE Transactions on Mobile Computing, v. 5, n. 10, p. 1347{1360, Oct 2006. ISSN 1536-1233.", "NACHIMUTHU D.; BASHA, R. Reactive Power Loss Optimization For An IEEE 14-Bus Power System Using Various Algorithms. 1737 - 1744. ed. [S.l.]: IU - Journal of Electrical & Electronics Engineering, 2014.", "NARA K.; SATAL, I. K. M. Multiobjective Tabu Search for service restoration in electric distribution networks. Tokio. [S.l.]: Proc 3rd Symp Expert System Application to Power System (ESAPS)., 1999.", "NARA K.; SHIOSE, A. K. M. I. T. Implementation of genetic algorithm for distribution systems loss minimum re-conguration. Ieee trans. power syst., vol. 7, no. 3, pp. 1044{1051. [S.l.]: Biomedical Engineering and Informatics (BMEI), 1992.", "Nematshahi, S.; Mashhadi, H. R. Distribution network reconguration with the application of dlmp using genetic algorithm. In: 2017 IEEE Electrical Power and Energy Conference (EPEC). [S.l.: s.n.], 2017. p. 1{5.", "NIKNAM, T. A new hybrid algorithm for multi-objective distribution feeder reconguration. Cybernetics and Systems, Taylor Francis, v. 40, n. 6, p. 508{527, 2009.", "NIKNAM, T. An ecient hybrid evolutionary algorithm based on pso and hbmo algorithms for multi-objective distribution feeder reconguration. Energy Conversion and Management, v. 50, n. 8, p. 2074 { 2082, 2010. ISSN 0196-8904. Dispon\u00edvel em: hhttp://www.sciencedirect.com/science/article/pii/S0196890409001198i.", "NIKNAM, T.; FARSANI, E. A.; NAYERIPOUR, M. An ecient multi-objective modied shued frog leaping algorithm for distribution feeder conguration problem. European Transactions on Electrical Power, v. 21, p. 721 { 739, 01 2011.", "NIKNAM, T.; OLAMAIE, J.; KHORSHIDI, R. A hybrid algorithm based on hbmo and fuzzy set for multi-objective distribution feeder reconguration. World Applied Sciences Journal, v. 4, n. 2, p. 308{315, 2008. Cited By 44.", "OLAMAEI, J.; NIKNAM, T.; AREFI, S. B. Distribution feeder reconguration for loss minimization based on modied honey bee mating optimization algorithm. Energy Procedia, v. 14, p. 304 { 311, 2012. ISSN 1876-6102. 2011 2nd International Conference on Advances in Energy Engineering (ICAEE). Dispon\u00edvel em: hhttp://www.sciencedirect. com/science/article/pii/S1876610211043505i.", "OLIVEIRA, L. W. et al. Reconfigura\u00e7\u00e3o \u00f3tima de sistemas de distri
Electrical Power Supply Distribution Networks have become very attractive due to automation process and electronic devices incorporation, which allows distance maneuvers. The reconguration process consists of changing distribution network topology by closing or opening interconnection keys. Also, such process focuses on supporting decision making, planning and/or real-time control of electric network operation aiming to minimizing active power losses, load balancing, fault isolation, voltage level improvements and maintaining continuity of user services. The task of managing and taking decisions to change the electrical network topology is a complex task due to the diversity of conguration possibilities. In this context, Autonomic Management Systems (AMS) are being investigated as a feasible solution to the grid reconguration problem. Thus, we expect that management human intervention can be replaced by autonomic solutions, preferably, dynamically generated. This thesis proposes the use of Case-Based Reasoning (CBR) coupled with HATSGA algorithm for the fast reconguration of large distribution power networks. The suitability and the scalability of the CBR-based reconguration strategy using HATSGA algorithm are evaluated. The evaluation indicates that the adopted HATSGA algorithm computes new reconguration topologies with a feasible computational time for large networks. The CBR strategy looks for managerial acceptable reconguration solutions at the CBR database and, as such, contributes to reduce the computational time of reconguration using HATSGA. This suggests CBR can be applied with a fast reconguration algorithm resulting in more efficient, dynamic and cognitive grid recovery strategy.