Computational awareness for smart grid: a review
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[1] Robert Schober,et al. Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid , 2010, 2010 Innovative Smart Grid Technologies (ISGT).
[2] Farid Farahmand,et al. Energy-awareness in dynamic traffic grooming , 2010, 2010 Conference on Optical Fiber Communication (OFC/NFOEC), collocated National Fiber Optic Engineers Conference.
[3] Yang Xiao,et al. A survey of communication/networking in Smart Grids , 2012, Future Gener. Comput. Syst..
[4] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[5] Elaine J. Weyuker,et al. Locating where faults will be [software testing] , 2005, 2005 Richard Tapia Celebration of Diversity in Computing Conference.
[6] Georgios Kalogridis,et al. Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures , 2010, 2010 First IEEE International Conference on Smart Grid Communications.
[7] Christoph Flath,et al. Cluster Analysis of Smart Metering Data , 2012, Business & Information Systems Engineering.
[8] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[9] Walid G. Morsi,et al. Voltage collapse detection using ant colony optimization for smart grid applications , 2010, 2010 IEEE Electrical Power & Energy Conference.
[10] R. Harley,et al. Computational Intelligence in Smart Grids , 2011 .
[11] Wencong Su,et al. Performance evaluation of a PHEV parking station using Particle Swarm Optimization , 2011, 2011 IEEE Power and Energy Society General Meeting.
[12] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[13] Abbe E. Forman,et al. Smart Grid , 2013, Int. J. E Politics.
[14] Jason Lines,et al. Classification of Household Devices by Electricity Usage Profiles , 2011, IDEAL.
[15] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[16] A. Feliachi,et al. Multi-Agent systems hardware development and deployment for smart grid control applications , 2011, 2011 IEEE Power and Energy Society General Meeting.
[17] S. Dreyfus,et al. Thermodynamical Approach to the Traveling Salesman Problem : An Efficient Simulation Algorithm , 2004 .
[18] Hamid Lesani,et al. AAHES: A hybrid expert system realization of Adaptive Autonomy for smart grid , 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).
[19] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1992, Artificial Intelligence.
[20] Farrokh Rahimi,et al. Demand Response as a Market Resource Under the Smart Grid Paradigm , 2010, IEEE Transactions on Smart Grid.
[21] Anton Gustafsson,et al. The power-aware cord: energy awareness through ambient information display , 2005, CHI Extended Abstracts.
[22] F. Glover,et al. Handbook of Metaheuristics , 2019, International Series in Operations Research & Management Science.
[23] Claudio Carpineto,et al. A Survey of Automatic Query Expansion in Information Retrieval , 2012, CSUR.
[24] Yi Xu,et al. A survey on the communication architectures in smart grid , 2011, Comput. Networks.
[25] Prashant J. Shenoy,et al. Private memoirs of a smart meter , 2010, BuildSys '10.
[26] Andries P. Engelbrecht,et al. Computational Intelligence: An Introduction , 2002 .
[27] J. G. Slootweg,et al. Incorporating solar home systems for smart grid applications , 2012, 2012 47th International Universities Power Engineering Conference (UPEC).
[28] Mo-Yuen Chow,et al. A Survey on the Electrification of Transportation in a Smart Grid Environment , 2012, IEEE Transactions on Industrial Informatics.
[29] Seema Singh,et al. Application of computational intelligence in emerging power systems , 2010 .
[30] S. Postel,et al. Carrying Capacity: Earth’s Bottom Line , 1994 .
[31] Christian Blum,et al. Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.
[32] Zhao Lei,et al. Architecture Design For Smart Grid , 2012 .
[33] Cheng Lin,et al. Integrated Design and Implementation of Toronto's Smart Distribution Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.
[34] H. Morais,et al. Technical and economic resources management in smart grids using heuristic optimization methods , 2010, IEEE PES General Meeting.
[35] Ganesh K. Venayagamoorthy,et al. Dynamic, Stochastic, Computational, and Scalable Technologies for Smart Grids , 2011, IEEE Computational Intelligence Magazine.
[36] V. Cerný. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .
[37] Tomonobu Senjyu,et al. Optimal Operation by Controllable Loads Based on Smart Grid Topology Considering Insolation Forecasted Error , 2011, IEEE Transactions on Smart Grid.
[38] Chang-Tien Lu,et al. Activity analysis based on low sample rate smart meters , 2011, KDD.
[39] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[40] Jing Xie,et al. Classification of power quality disturbances using wavelet and fuzzy support vector machines , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[41] Iain MacGill,et al. Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services , 2010, IEEE Transactions on Smart Grid.
[42] Lingfeng Wang,et al. Multi-agent control system with intelligent optimization for smart and energy-efficient buildings , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.
[43] Philip S. Yu,et al. A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering , 2006, SAC '06.
[44] Gregory D. Abowd,et al. Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.
[45] Pierluigi Siano,et al. An overview on the smart grid concept , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.
[46] Mo-Yuen Chow,et al. Performance Evaluation of an EDA-Based Large-Scale Plug-In Hybrid Electric Vehicle Charging Algorithm , 2012, IEEE Transactions on Smart Grid.
[47] Peter Miller,et al. The Smart Swarm: How Understanding Flocks, Schools, and Colonies Can Make Us Better at Communicating, Decision Making, and Getting Things Done , 2010 .
[48] L. L. Lai,et al. An initial study on computational intelligence for smart grid , 2009, 2009 International Conference on Machine Learning and Cybernetics.
[49] Thomas Way,et al. Methods, metrics and motivation for a green computer science program , 2009, SIGCSE '09.
[50] Paul J. Werbos,et al. Computational Intelligence for the Smart Grid-History, Challenges, and Opportunities , 2011, IEEE Computational Intelligence Magazine.
[51] Francesco Grimaccia,et al. Photovoltaic plants predictive model by means of ANN trained by a hybrid evolutionary algorithm , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[52] Hamid Aghvami,et al. A Universal Resource Awareness Channel for Cognitive Radio , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.
[53] Anna Scaglione,et al. For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid , 2010, Proceedings of the IEEE.
[54] Marco Mussetta,et al. Information Processing in Smart Grids and Consumption Dynamics , 2011, Information Retrieval and Mining in Distributed Environments.
[55] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[56] Zhe Chen,et al. Cognitive Radio for Smart Grid: Theory, Algorithms, and Security , 2011, Int. J. Digit. Multim. Broadcast..
[57] Fernando G. Gonzalez. An Intelligent Controller for the Smart Grid , 2013, CSER.
[58] Hossam Afifi,et al. A Survey on Personalized TV and NGN Services through Context-Awareness , 2012, CSUR.
[59] Kemal Akkaya,et al. A survey of routing protocols for smart grid communications , 2012, Comput. Networks.
[60] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[61] Andrea Tagarelli,et al. Low-voltage electricity customer profiling based on load data clustering , 2009, IDEAS '09.
[62] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[63] Haibo He,et al. Toward a Smart Grid: Integration of computational intelligence into Power Grid , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[64] Carlos Ramos,et al. AI in Power Systems and Energy Markets , 2011, IEEE Intell. Syst..
[65] Tarlochan S. Sidhu,et al. Opportunities and challenges of wireless communication technologies for smart grid applications , 2010, IEEE PES General Meeting.
[66] Marco Dorigo,et al. Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[67] Xinghuo Yu,et al. Incremental pattern characterization learning and forecasting for electricity consumption using smart meters , 2011, 2011 IEEE International Symposium on Industrial Electronics.
[68] George Karypis,et al. A Comparison of Document Clustering Techniques , 2000 .
[69] Pierre Kuonen,et al. SmartGRID: A Fully Decentralized Grid Scheduling Framework Supported by Swarm Intelligence , 2008, 2008 Seventh International Conference on Grid and Cooperative Computing.
[70] J. Randers,et al. Tracking the ecological overshoot of the human economy , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[71] B.F. Wollenberg,et al. Toward a smart grid: power delivery for the 21st century , 2005, IEEE Power and Energy Magazine.
[72] S. Chatterji,et al. Artificial Intelligence Based Optimization Algorithm for Demand Response Management of Residential Load in Smart Grid , 2012 .
[73] Marco Conti,et al. Context and resource awareness in opportunistic network data dissemination , 2008, 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks.
[74] Bing Liu,et al. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data , 2006, Data-Centric Systems and Applications.
[75] Naoki Tanaka,et al. Distributed non-intrusive load monitoring , 2011, ISGT 2011.
[76] Jianhui Wang,et al. Smart Transmission Grid: Vision and Framework , 2010, IEEE Transactions on Smart Grid.
[77] J. C. Cepeda,et al. Dynamic vulnerability assessment due to transient instability based on data mining analysis for Smart Grid applications , 2011, 2011 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA (ISGT LA).
[78] Amit Jain,et al. Fuzzy Modeling and Similarity Based Short Term Load Forecasting Using Swarm Intelligence-A Step Towards Smart Grid , 2012, BIC-TA.
[79] Khosrow Moslehi,et al. A Reliability Perspective of the Smart Grid , 2010, IEEE Transactions on Smart Grid.
[80] Pramode K. Verma,et al. A proposed communications infrastructure for the smart grid , 2010, 2010 Innovative Smart Grid Technologies (ISGT).
[81] Yilu Liu,et al. Visualization and Classification of Power System Frequency Data Streams , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[82] V. C. Gungor,et al. Smart Grid and Smart Homes: Key Players and Pilot Projects , 2012, IEEE Industrial Electronics Magazine.
[83] S. Karnouskos,et al. Smart Houses for a Smart Grid , 2009 .
[84] Fred W. Glover,et al. Tabu Search - Part I , 1989, INFORMS J. Comput..
[85] Prakash Ranganathan,et al. Agent-Oriented Designs for a Self Healing Smart Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.
[86] Ghadir Radman,et al. Survey on Smart Grid , 2010, Proceedings of the IEEE SoutheastCon 2010 (SoutheastCon).
[87] Mohamed Medhat Gaber,et al. Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks , 2008, ADC.
[88] H. T. Mouftah,et al. Prediction-based charging of PHEVs from the smart grid with dynamic pricing , 2010, IEEE Local Computer Network Conference.
[89] Gyung-Leen Park,et al. Design of an Energy Consumption Scheduler Based on Genetic Algorithms in the Smart Grid , 2011, ICCCI.
[90] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[91] Andries Petrus Engelbrecht,et al. Fundamentals of Computational Swarm Intelligence , 2005 .
[92] C. Reeves. Modern heuristic techniques for combinatorial problems , 1993 .
[93] Padhraic Smyth,et al. From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..
[94] Xinghuo Yu,et al. Semi-supervised classification of characterized patterns for demand forecasting using smart electricity meters , 2011, 2011 International Conference on Electrical Machines and Systems.
[95] Lingfeng Wang,et al. Smart meters for power grid — Challenges, issues, advantages and status , 2011 .
[96] Muhammad Ramzan,et al. Fault aware routing algorithm to enhance network resiliency & achieve load balancing in Hybrid Wireless Optical Broadband Access Network , 2010, 7th International Symposium on High-capacity Optical Networks and Enabling Technologies.
[97] Chu-Sing Yang,et al. Classification algorithms for interactive multimedia services: a review , 2011, Multimedia Tools and Applications.
[98] Nikhil R. Devanur,et al. A computational theory of awareness and decision making , 2009, TARK '09.
[99] Seung-Hwan Choi,et al. A study for clustering method to generate Typical Load Profiles for Smart Grid , 2011, 8th International Conference on Power Electronics - ECCE Asia.
[100] Fred Glover,et al. Tabu Search - Part II , 1989, INFORMS J. Comput..
[101] Tatsuya Yamazaki,et al. AERO: extraction of user's activities from electric power consumption data , 2010, IEEE Transactions on Consumer Electronics.
[102] Pedro Faria,et al. Intelligent energy resource management considering vehicle-to-grid: A Simulated Annealing approach , 2012, 2012 IEEE Power and Energy Society General Meeting.
[103] Valeriy Vyatkin,et al. Towards intelligent Smart Grid devices with IEC 61850 Interoperability and IEC 61499 open control architecture , 2010, IEEE PES T&D 2010.
[104] G. Pastuszak,et al. Multi-Path Adaptive Computation-Aware Search Strategy for Block-Based Motion Estimation , 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".
[105] Ahmed Yousuf Saber,et al. Intelligent unit commitment with vehicle-to-grid —A cost-emission optimization , 2010 .
[106] Olfa Nasraoui,et al. Web data mining: exploring hyperlinks, contents, and usage data , 2008, SKDD.
[107] Abdalkarim Awad,et al. Self-Organizing Smart Grid Services , 2012, 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies.
[108] Yuan Ye,et al. Power quality disturbances classification Based on multi-class classification SVM , 2009, 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS).
[109] Kendall Nygard,et al. Smart grid data analytics for decision support , 2011, 2011 IEEE Electrical Power and Energy Conference.
[110] Edward Curry,et al. System of systems information interoperability using a linked dataspace , 2012, 2012 7th International Conference on System of Systems Engineering (SoSE).
[111] Jun Zhu,et al. A Data-Driven Approach to Interactive Visualization of Power Systems , 2011, IEEE Transactions on Power Systems.
[112] M. Manic,et al. Improving cyber-security of smart grid systems via anomaly detection and linguistic domain knowledge , 2012, 2012 5th International Symposium on Resilient Control Systems.
[113] Rajiv Kapoor,et al. Classification of power quality events – A review , 2012 .
[114] Zhenhua Jiang,et al. Computational Intelligence Techniques for a Smart Electric Grid of the Future , 2009, ISNN.