Random Forest-Based Ensemble Machine Learning Data-Optimization Approach for Smart Grid Impedance Prediction in the Powerline Narrowband Frequency Band
暂无分享,去创建一个
[1] Bharat S. Rawal,et al. A proxy re-encryption-based webmail and file sharing system for collaboration in cloud computing environment , 2018, 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS).
[2] Ali N. Hasan,et al. Applications of artificial intelligence in powerline communications in terms of noise detection and reduction: a review , 2018 .
[3] Ali Hassan Sodhro,et al. Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications , 2019, IEEE Transactions on Industrial Informatics.
[4] Emmanuel Oyekanlu. FUZZY INFERENCE BASED STABILITY OPTIMIZATION FOR IOT DATA CENTERS DC MICROGRIDS: IMPACT OF CONSTANT POWER LOADS ON SMART GRID COMMUNICATION OVER THE POWERLINE , 2019 .
[5] Adel Ghazel,et al. Empirical modeling of the narrowband Power Line Communication channel , 2016, 2016 5th International Conference on Multimedia Computing and Systems (ICMCS).
[6] Timothy Sands,et al. Comparison and Interpretation Methods for Predictive Control of Mechanics , 2019, Algorithms.
[7] Victor C. M. Leung,et al. Cable Diagnostics With Power Line Modems for Smart Grid Monitoring , 2018, IEEE Access.
[8] Nader Barsoum,et al. Modelling of LCRC adaptive impedance matching circuit in narrowband power line communication , 2015, 2015 IEEE 11th International Conference on Power Electronics and Drive Systems.
[9] Emmanuel Oyekanlu,et al. Smart grid communication over DC powerline: Evaluation of powerline communication OFDM PAPR for new types of destabilizing electrical loads , 2018, 2018 First International Colloquium on Smart Grid Metrology (SmaGriMet).
[10] Andrea M. Tonello,et al. A Study on the Optimal Receiver Impedance for SNR Maximization in Broadband PLC , 2013, J. Electr. Comput. Eng..
[11] A. Kaur,et al. Application of Random Forest in Predicting Fault-Prone Classes , 2008, 2008 International Conference on Advanced Computer Theory and Engineering.
[12] Imdad Khan,et al. Impedance Characterization of Power Line Communication Networks , 2014 .
[13] Sergio Luiz Stevan,et al. Empirical Analysis of the Communication in Industrial Environment Based on G3-Power Line Communication and Influences from Electrical Grid , 2018 .
[14] Jitendra Kumar Jaiswal,et al. Application of Random Forest Algorithm on Feature Subset Selection and Classification and Regression , 2017, 2017 World Congress on Computing and Communication Technologies (WCCCT).
[15] Donald Shaver,et al. Narrowband OFDM power line communication challenges, standardization, and semiconductor's role , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).
[16] Ruben Picek,et al. Smart City Services Driven by Iot: A Systematic Review , 2017 .
[17] Enzo Baccarelli,et al. Energy-saving adaptive computing and traffic engineering for real-time-service data centers , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).
[18] Harshad V. Dange,et al. Powerline Communication Based Home Automation and Electricity Distribution System , 2011, 2011 International Conference on Process Automation, Control and Computing.
[19] Salih Hassan Mahmood,et al. Broadband Services on Power Line Communication Systems: A Review , 2019, 2019 22nd International Conference on Control Systems and Computer Science (CSCS).
[20] Emmanuel Oyekanlu,et al. Edge computing for industrial IoT and the smart grid: Channel capacity for M2M communication over the power line , 2017, 2017 IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON).
[21] Oana Chenaru,et al. DEW: A New Edge Computing Component for Distributed Dynamic Networks , 2019, 2019 22nd International Conference on Control Systems and Computer Science (CSCS).
[22] Rajkumar Buyya,et al. Recent advances in cloud data centers toward fog data centers , 2019, Concurr. Comput. Pract. Exp..
[23] Tao Zheng,et al. Real-Time Impedance Estimation for Power Line Communication , 2019, IEEE Access.
[24] Emmanuel Oyekanlu,et al. Distributed Osmotic Computing Approach to Implementation of Explainable Predictive Deep Learning at Industrial IoT Network Edges with Real-Time Adaptive Wavelet Graphs , 2018, 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE).
[25] Emmanuel Oyekanlu,et al. Osmotic Collaborative Computing for Machine Learning and Cybersecurity Applications in Industrial IoT Networks and Cyber Physical Systems with Gaussian Mixture Models , 2018, 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC).
[26] N. Theethayi,et al. Broadband Power Line Communications Systems: Theory and Applications , 2010 .
[27] M. El-Shafei,et al. Power Line Communications: An Overview - Part I , 2007, 2007 Innovations in Information Technologies (IIT).
[28] Timothy Sands,et al. Autonomous Trajectory Generation for Deterministic Artificial Intelligence , 2018 .
[29] Mukta Goyal,et al. Prediction of Consumer Behaviour using Random Forest Algorithm , 2018, 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).
[30] Mohammad Shojafar,et al. Internet of everything, networks, applications, and computing systems (IoENACS) , 2020, International Journal of Computers and Applications.
[31] Andrea M. Tonello,et al. On Impedance Matching in a Power-Line-Communication System , 2016, IEEE Transactions on Circuits and Systems II: Express Briefs.
[32] E. C. M. Costa,et al. Real-time estimation of transmission line impedance based on modal analysis theory , 2011, 2011 IEEE Power and Energy Society General Meeting.
[33] Nunzio A. Letizia,et al. Machine Learning Tips and Tricks for Power Line Communications , 2019, IEEE Access.
[34] Alireza Ghasempour,et al. Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges , 2019, Inventions.
[35] Darko Andročec. Overcoming Service-Level Interoperability Challenges of the IoT , 2017 .
[36] Yilmaz Sozer,et al. Power-Line Impedance Estimation at FCC Band Based on Intelligent Home Appliances Status Detection Algorithm Through Their Individual Energy and Impedance Signatures , 2014, IEEE Transactions on Power Delivery.
[37] S. L. Stevan,et al. Technical feasibility and performance analysis of G3-PLC standard for monitoring in industrial environment , 2016, IEEE Latin America Transactions.
[38] Neven Vrček,et al. Machine Learning for the Internet of Things Security: A Systematic Review , 2018 .
[39] Jong-Myon Kim,et al. Texture analysis based feature extraction using Gabor filter and SVD for reliable fault diagnosis of an induction motor , 2018, Int. J. Inf. Technol. Manag..
[40] I. Hakki Cavdar,et al. Measurements of Impedance and Attenuation at CENELEC Bands for Power Line Communications Systems , 2008, Sensors.
[41] Dong Liang,et al. Impedance Tracking and Estimation using Power Line Communications , 2019, 2019 IEEE International Symposium on Power Line Communications and its Applications (ISPLC).
[42] Jong-Myon Kim,et al. Reliable Fault Classification of Induction Motors Using Texture Feature Extraction and a Multiclass Support Vector Machine , 2014 .
[43] Mauro Conti,et al. Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directionsand Research Directions , 2018 .