English | 繁體

Search in the results

UM

Browse/Search Results:  1-8 of 8 Help

Selected(0)Clear Items/Page:    Sort:
Comparative Analysis of Offshore Wind Power Prediction Models and Clustering-Based Daily Output Classification Conference paper
Ou, Zhongxi, Lan, Wei, Zhang, Liang, Tong, Zhu, Liu, Dundun, Liu, Zhaoxi. Comparative Analysis of Offshore Wind Power Prediction Models and Clustering-Based Daily Output Classification[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1482-1487.
Authors:  Ou, Zhongxi;  Lan, Wei;  Zhang, Liang;  Tong, Zhu;  Liu, Dundun; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2 | Submit date：2024/09/03
Gru  K-means Clustering  Lstm  Offshore Wind Power  Offshore Wind Power Forecasting  Prediction Accuracy  Prediction Models  
Wind speed forecasting based on hybrid model with model selection and wind energy conversion Journal article
Chen Wang, Shenghui Zhang, Peng Liao, Tonglin Fu. Wind speed forecasting based on hybrid model with model selection and wind energy conversion[J]. RENEWABLE ENERGY, 2022, 196, 763-781.
Authors:  Chen Wang;  Shenghui Zhang;  Peng Liao;  Tonglin Fu
Favorite | TC[WOS]:19 TC[Scopus]:21  IF:9.0/8.1 | Submit date：2022/08/02
Model Selection  Wind Power Conversion  Hybrid Models  Wind Speed Forecasting  
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems Journal article
Zhao, Juanjuan, Zhang, Liutao, Ye, Jiexia, Xu, Chengzhong. MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8), 13316-13329.
Authors:  Zhao, Juanjuan;  Zhang, Liutao;  Ye, Jiexia;  Xu, Chengzhong
Favorite | TC[WOS]:10 TC[Scopus]:9  IF:7.9/8.3 | Submit date：2022/05/13
Data Models  Deep Learning  Deep Learning  Destination Forecasting  Feature Extraction  Global Positioning System  Individual Mobility.  Its  Predictive Models  Real-time Systems  Trajectory  
An Adaptive Ensemble Data Driven Approach for Nonparametric Probabilistic Forecasting of Electricity Load Journal article
Wan, Can, Cao, Zhaojing, Lee, Wei Jen, Song, Yonghua, Ju, Ping. An Adaptive Ensemble Data Driven Approach for Nonparametric Probabilistic Forecasting of Electricity Load[J]. IEEE Transactions on Smart Grid, 2021, 12(6), 5396-5408.
Authors:  Wan, Can;  Cao, Zhaojing;  Lee, Wei Jen;  Song, Yonghua;  Ju, Ping
Favorite | TC[WOS]:23 TC[Scopus]:36  IF:8.6/9.6 | Submit date：2021/12/08
Forecasting  Probabilistic Logic  Uncertainty  Predictive Models  Load Forecasting  Load Modeling  Wind Power Generation  Probabilistic Forecasting  Load Forecasting  Data Mining  Uncertainty  Information Entropy  Weighted Resample  
Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts Journal article
Ahmad, Tanveer, Zhang, Hongcai. Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts[J]. Energy, 2020, 209, 118477.
Authors:  Ahmad, Tanveer;  Zhang, Hongcai
Favorite | TC[WOS]:27 TC[Scopus]:34  IF:9.0/8.2 | Submit date：2021/09/09
Deep Supervised Learning Models  Multiple Feature Selection  Short & Medium-term Forecasting  Time Series  Utilities And Building Load  
Application and research for electricity price forecasting system based on multi-objective optimization and sub-models selection strategy Journal article
Fu, Tonglin, Zhang, Shenghui, Wang, Chen. Application and research for electricity price forecasting system based on multi-objective optimization and sub-models selection strategy[J]. Soft Computing, 2020, 24(20), 15611-15637.
Authors:  Fu, Tonglin;  Zhang, Shenghui;  Wang, Chen
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:3.1/3.2 | Submit date：2021/12/06
Combined Model  Electricity Prices  Hybrid Forecasting System  Sub-models Selection Strategy  
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings Journal article
Ahmad, Tanveer, Zhang, Hongcai, Yan, Biao. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings[J]. Sustainable Cities and Society, 2020, 55, 102052.
Authors:  Ahmad, Tanveer;  Zhang, Hongcai;  Yan, Biao
Favorite | TC[WOS]:280 TC[Scopus]:353  IF:10.5/10.0 | Submit date：2021/09/09
Renewable Energy Sources  Forecasting Models  Energy Planning  Machine Learning Models  Ensemble Models  Artificial Neural Networks  
A review on machine learning forecasting growth trends and their real-time applications in different energy systems Review article
2020
Authors:  Ahmad, Tanveer;  Chen, Huanxin
Favorite | TC[WOS]:99 TC[Scopus]:132  IF:10.5/10.0 | Submit date：2021/12/06
Forecasting  Load Demand Prediction  Machine Learning  Real-time Applications  Renewable Energy Forecasting  Supervised Models