Trust aware fault tolerant prediction model for wireless sensor network based measurements in Smart Grid environment
Tài liệu tham khảo
2012
Liu, 2012, Cyber security and privacy issues in smart grids, IEEE Commun. Surv. Tutor., 14, 981, 10.1109/SURV.2011.122111.00145
Aman, 2015, Holistic measures for evaluating prediction models in smart grids, IEEE Trans. Knowl. Data Eng., 27, 475, 10.1109/TKDE.2014.2327022
Motamedi, 2012, Electricity price and demand forecasting in Smart Grids, IEEE Trans. Smart Grid, 3, 664, 10.1109/TSG.2011.2171046
Mirowski, 2014, Demand forecasting in smart grids, Bell Labs Tech. J., 135, 10.1002/bltj.21650
Kramer, 2010, Power prediction in smart grids with evolutionary local kernel regression, 262
Ghasemi, 2016, A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management, J. Appl. Energy, 177, 40, 10.1016/j.apenergy.2016.05.083
Saleh, 2016, A data mining based load forecasting strategy for smart electrical grids, J. Adv. Eng. Inform., 30, 442, 10.1016/j.aei.2016.05.005
Raza, 2017, An intelligent hybrid short-term forecasting model for smart power grids, J. Sustain. Cities Soc., 31, 264, 10.1016/j.scs.2016.12.006
Shayeghi, 2015, Simultaneous day-ahead forecasting of electricity price and load in smart grids, J. Energy Conver. Manage., 95, 371, 10.1016/j.enconman.2015.02.023
Bessa, 2015, Probabilistic solar forecasting in smart grids using distributed information, Intl. J. Electrical Power Energy Syst., 72, 16, 10.1016/j.ijepes.2015.02.006
Bassamzadeh, 2017, Multiscale stochastic prediction of electricity demand in smart grid using Bayesian networks, J. of Appl. Energy, 193, 369, 10.1016/j.apenergy.2017.01.017
Muralitharan, 2018, Neural network based optimization approach for energy demand prediction in smart grid, Neurocomputing, 273, 199, 10.1016/j.neucom.2017.08.017
Crisostomi, 2015, Prediction of the Italian electricity price for smart grid applications, Neurocomputing, 170, 286, 10.1016/j.neucom.2015.02.089
Fadel, 2015, A survey on wireless sensor networks for smart grid, Comput. Commun., 71, 22, 10.1016/j.comcom.2015.09.006
Edwin Prem Kumar, 2016, Securing the smart grid network: a review, 235
Faheem, 2017, Capacity and spectrum-aware communication framework for wireless sensor network-based smart grid applications, J. Comput. Stand. Interfaces, 48, 10.1016/j.csi.2017.03.003
Fadel, 2017, Spectrum-aware bio-inspired routing in cognitive radio sensor networks for smart grid applications, Int. J. Comput. Commun. Control., 101, 106, 10.1016/j.comcom.2016.12.020
Yu, 2012, Trust mechanisms in wireless sensor networks: attack analysis and countermeasures, J. Netw. Comput. Appl., 35, 867, 10.1016/j.jnca.2011.03.005
Liu, 2016, ActiveTrust: secure and trustable routing in wireless sensor networks, IEEE Trans. Inform. Forensics Secur., 11, 2013, 10.1109/TIFS.2016.2570740
Rathore, 2016, Sociopsychological trust model for wireless sensor networks, J. Netw. Comput. Appl., 62, 75, 10.1016/j.jnca.2015.09.009
Li, 2013, LDTS: a lightweight and dependable trust system for clustered wireless sensor networks, IEEE Trans. Inf. Forensics Secur., 8, 924, 10.1109/TIFS.2013.2240299
Bao, 2012, Hierarchical trust management for wireless sensor networks and its applications to trust-based routing and intrusion detection, IEEE Trans. Netw. Serv. Manag., 9, 169, 10.1109/TCOMM.2012.031912.110179
Kim, 2008, A trust model using fuzzy logic in wireless sensor network, World Acad. Sci. Eng. Technol., 18, 63
Hongjun, 2008, An entropy-based trust modeling and evaluation for wireless sensor networks, 27
Jiang, 2015, An efficient distributed trust model for wireless sensor networks, IEEE Trans. Parallel Distrib. Syst., 26, 1228, 10.1109/TPDS.2014.2320505
Otuoze, 2018, Smart grids security challenges: classification by sources of threats, J. Electric. Syst. Inform. Technol., 5, 468, 10.1016/j.jesit.2018.01.001
https://www.smartgrid.gov/document/ami_system_security_requirements.
Sharma, 2015, Performance analysis of smart metering for smart grid: an overview, Renew. Sustain. Energy Rev., 49, 720, 10.1016/j.rser.2015.04.170
Hansen, 2017, Security analysis of an advanced metering infrastructure, Int. J. Crit. Infrastruct. Prot., 18, 3, 10.1016/j.ijcip.2017.03.004
Edwin Prem Kumar, 2018, Trust based data prediction, aggregation and reconstruction using compressed sensing for clustered wireless sensor networks, Comput. Electric. Eng., 72, 894, 10.1016/j.compeleceng.2018.01.013
Ljung, 1995
https://lcav.epfl.ch/research/research-archives/research-archives-communications_and_sensor_networks_archive-html/sensorscope-en/page-145180-en-html/.
https://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption.
Chouikhi, 2015, A survey on fault tolerance in small and large scale wireless sensor networks, Comput. Commun., 69, 22, 10.1016/j.comcom.2015.05.007
Khan, 2012, Application of fuzzy inference systems to detection of faults in wireless sensor networks, Neurocomputing, 94, 111, 10.1016/j.neucom.2012.04.002
Jin, 2015, Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis, Wirel. Netw., 21, 829, 10.1007/s11276-014-0820-0
Muhammed, 2017, An analysis of fault detection strategies in wireless sensor networks, J. Netw. Comput. Appl., 78, 267, 10.1016/j.jnca.2016.10.019