A novel load prediction method for hybrid electric ship based on working condition classification
暂无分享,去创建一个
[1] Chen Chen,et al. Prediction interval of wind power using parameter optimized Beta distribution based LSTM model , 2019, Appl. Soft Comput..
[2] Cheng Lin,et al. Energy Management for a Dual-motor Coupling Propulsion Electric Bus based on Model Predictive Control , 2019 .
[3] Mayur Barman,et al. Season specific approach for short-term load forecasting based on hybrid FA-SVM and similarity concept , 2019, Energy.
[4] Dean Zhao,et al. An optimized RBF neural network algorithm based on partial least squares and genetic algorithm for classification of small sample , 2016, Appl. Soft Comput..
[5] Anastassios N. Perakis,et al. A real-time ship roll motion prediction using wavelet transform and variable RBF network , 2018, Ocean Engineering.
[6] Andreas Rausch,et al. A Markov Decision Process for managing a Hybrid Energy Storage System , 2018, Journal of Energy Storage.
[7] Heath Hofmann,et al. Adaptive model predictive control for hybrid energy storage energy management in all-electric ship microgrids , 2019, Energy Conversion and Management.
[8] Zhongda Tian,et al. Chaotic characteristic analysis of network traffic time series at different time scales , 2020 .
[9] Oreste S. Bursi,et al. A composite experimental dynamic substructuring method based on partitioned algorithms and localized Lagrange multipliers , 2018 .
[10] Mohammad Sohel Rahman,et al. isGPT: An optimized model to identify sub-Golgi protein types using SVM and Random Forest based feature selection , 2017, Artif. Intell. Medicine.
[11] Liliya Demidova,et al. Hybrid Approach to Improving the Results of the SVM Classification Using the Random Forest Algorithm , 2019, Procedia Computer Science.
[12] Jianzhou Wang,et al. Short-term wind speed forecasting using a hybrid model , 2017 .
[13] Rizwan Ahmad,et al. Intelligent techniques for forecasting electricity consumption of buildings , 2018, Energy.
[14] Jing Sun,et al. Adaptive model predictive control with propulsion load estimation and prediction for all-electric ship energy management , 2018 .
[15] Feng Ding,et al. Energy management of a dual-mode power-split hybrid electric vehicle based on velocity prediction and nonlinear model predictive control , 2017 .
[16] Jing Sun,et al. Simultaneous input and parameter estimation with input observers and set-membership parameter bounding: theory and an automotive application , 2006 .
[17] Bo Wang,et al. Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning , 2018, Energy.
[18] Jeffrey J Hunter. Kemeny's function for Markov chains and Markov renewal processes , 2018, Linear Algebra and its Applications.
[19] Hui Liu,et al. Markov velocity predictor and radial basis function neural network-based real-time energy management strategy for plug-in hybrid electric vehicles , 2018, Energy.