Energetic Map Data Imputation: A Machine Learning Approach
暂无分享,去创建一个
[1] Frank Gauterin,et al. Influence of Measurement and Prediction Uncertainties on Range Estimation for Electric Vehicles , 2018, IEEE Transactions on Intelligent Transportation Systems.
[2] Leonardo Franco,et al. Missing data imputation using statistical and machine learning methods in a real breast cancer problem , 2010, Artif. Intell. Medicine.
[3] Tshilidzi Marwala,et al. Modeling of missing data prediction: Computational intelligence and optimization algorithms , 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[4] Q. Yan,et al. Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model , 2019, Sustainability.
[5] Ivan Glesk,et al. Machine learning for estimation of building energy consumption and performance: a review , 2018, Visualization in Engineering.
[6] Markus Lienkamp,et al. Range Prediction for EVs via Crowd-Sourcing , 2014, 2014 IEEE Vehicle Power and Propulsion Conference (VPPC).
[7] Kristin L. Sainani,et al. Dealing with missing data , 2002 .
[8] Michael E. Theologou,et al. Machine-learning methodology for energy efficient routing , 2012 .
[9] Lifeng Wu,et al. Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China , 2019, Renewable and Sustainable Energy Reviews.
[10] Javier Del Ser,et al. On the imputation of missing data for road traffic forecasting: New insights and novel techniques , 2018 .
[11] Li-Der Chou,et al. Electric-Vehicle Navigation System Based on Power Consumption , 2016, IEEE Transactions on Vehicular Technology.
[12] S. Seo. A Review and Comparison of Methods for Detecting Outliers in Univariate Data Sets , 2006 .
[13] Kashem M. Muttaqi,et al. A Real-Time Range Indicator for EVs Using Web-Based Environmental Data and Sensorless Estimation of Regenerative Braking Power , 2018, IEEE Transactions on Vehicular Technology.
[14] Yanyun Zhao,et al. Imputation of missing data using ensemble algorithms , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
[15] Michael E. Theologou,et al. Mesoscopic forecasting of vehicular consumption using neural networks , 2015, Soft Comput..
[16] John Krumm,et al. Hidden Markov map matching through noise and sparseness , 2009, GIS.
[17] J. Fox,et al. Applied Regression Analysis and Generalized Linear Models , 2008 .
[18] Phil Blythe,et al. Use of ITS to overcome barriers to the introduction of electric vehicles in the North East of England , 2012 .
[19] Tariq Samad,et al. Imputation of Missing Data in Industrial Databases , 1999, Applied Intelligence.
[20] Kristen A. Severson,et al. Data-driven prediction of battery cycle life before capacity degradation , 2019, Nature Energy.
[21] Ling-Jyh Chen,et al. Missing data handling for meter data management system , 2013, e-Energy '13.
[22] Joeri Van Mierlo,et al. A Model for Range Estimation and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions , 2020, IEEE Transactions on Intelligent Transportation Systems.
[23] Gilles Louppe,et al. Independent consultant , 2013 .
[24] Noel A. Card,et al. Best practices for missing data management in counseling psychology. , 2010, Journal of counseling psychology.
[25] Guoyuan Wu,et al. Data-driven decomposition analysis and estimation of link-level electric vehicle energy consumption under real-world traffic conditions , 2017, Transportation Research Part D: Transport and Environment.
[26] M. Braga,et al. Exploratory Data Analysis , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..
[27] S.塞尔朔普. Predicting an energy consumption of a vehicle , 2014 .
[28] Henk Nijmeijer,et al. Battery electric vehicle energy consumption prediction for a trip based on route information , 2018 .