Suchergebnisse - spatio-temporal forecasting algorithm

A decomposable multi-fusion spatio-temporal marine traffic flow forecasting algorithm: Taking the North Sea and Baltic Sea region as an example von Yuan, Yi, Guo, Hetian, Fan, Zipei, Peng, Yingzhi, Zhang, Jiaqi, Song, Xuan, Shibasaki, Ryosuke

“… Maritime transportation, which is responsible for handling over 80% of global trade, is integral to the international supply chain. As global trade continues …”
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Spatio-temporal Crime Analysis and Forecasting on Twitter Data Using Machine Learning Algorithms von Vivek, Meghashyam, Prathap, Boppuru Rudra

“… The concept of social media began to gain popularity in the late 1990s and has played a significant role in connecting people across the globe. The constant …”
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Enhancing green hydrogen forecasting with a spatio-temporal graph convolutional network optimized by the Ninja algorithm von Yassen, Mona Ahmed, Alhussan, Amel Ali, Abdel-Fattah, Mohamed Gamal, Ismael, Islam, El.Deen Salah Mostafa, Hossam, El-kenawy, El-Sayed M.

“… We introduce a new system that utilizes a Spatio-Temporal Graph Convolutional Network (STGCN) and a novel algorithm, the Ninja Optimization Algorithm …”
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Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms von Di Nunno, Fabio, Granata, Francesco

“… A reliable prediction of the spatio-temporal drought variation can lead to a reduction in vulnerability and an improvement in the management of drought-dependent businesses …”
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Multi-Step-Ahead Electricity Price Forecasting Based on Temporal Graph Convolutional Network von Su, Haokun, Peng, Xiangang, Liu, Hanyu, Quan, Huan, Wu, Kaitong, Chen, Zhiwen

“… In order to improve the accuracy of electricity price forecasting, this paper proposes a novel spatio-temporal prediction model, which is combined with the graph convolutional network (GCN …”
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A Hybrid Mud Ring Algorithm and Continual Spatio-Temporal Graph Convolutional Networks for Short-Term Residential Load Forecasting in Smart Grids von Babu, B. Suresh, Rajagopalan, T., Srinivasan, P. Santhosh, Reddy, Chinthalacheruvu Venkata Krishna

“… The proposed framework uses Mud Ring Algorithm (MRA) to optimize Continual Spatio-Temporal Graph Convolutional Networks (CSTGCN …”
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Multi-objective evolutionary spatio-temporal forecasting of air pollution von Espinosa, Raquel, Jiménez, Fernando, Palma, José

“… In the current literature, there are a large number of proposals for spatio-temporal air pollution forecasting …”
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CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale von Wang, Qi, Jin, Guangyin, Zhao, Xia, Feng, Yanghe, Huang, Jincai

“… , the intractable correlations as well as information redundancies in spatio-temporal dataset. To achieve efficient information processing and disentangle relationships …”
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Correction to: Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms von Di Nunno, Fabio, Granata, Francesco

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Spatio-temporal feature amplified forecasting framework for uncertain power tracking of multitype renewable energy and loads von Liu, Yanli, Jia, Ziwen, Liu, Liqi

“… Therefore, this paper proposes a spatio-temporal feature amplified (STFA) forecasting framework, which can be seamlessly incorporated into state-of-the-art deep learning algorithms …”
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Ultra-fast preselection in lasso-type spatio-temporal solar forecasting problems von Yang, Dazhi

“… •A preselection algorithm is proposed for lasso-type spatio-temporal solar forecasting …”
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A novel spatial electric load forecasting method based on LDTW and GCN von Wei, Minjie, wen, Mi, Zhang, Yi

“… Spatial power load forecasting is crucial for power grid planning, generation planning, dispatching, efficient power utilization, and sustainable development …”
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Spatio-temporal landslide forecasting using process-based and data-driven approaches: A case study from Western Ghats, India von Abraham, Minu Treesa, Vaddapally, Manjunath, Satyam, Neelima, Pradhan, Biswajeet

“… A new data-driven approach for spatio-temporal landslide forecasting on a regional scale is proposed, integrating Landslide Susceptibility Maps (LSMs …”
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Neighbourhood level real-time forecasting of dengue cases in tropical urban Singapore von Chen, Yirong, Ong, Janet Hui Yi, Rajarethinam, Jayanthi, Yap, Grace, Ng, Lee Ching, Cook, Alex R.

“… The objective of this study is to develop a novel framework for producing a spatio-temporal dengue forecast at a neighbourhood …”
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Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments von Catlett, Charlie, Cesario, Eugenio, Talia, Domenico, Vinci, Andrea

“… Steadily increasing urbanization is causing significant economic and social transformations in urban areas, posing several challenges related to city …”
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MicroSTNet: a spatio-temporal graph-based framework for time-series microbiome analysis von Gao, Shichen, Li, Li, Wang, Jiajia, Wang, Yadong, Dong, Yan

“… While existing machine learning algorithms are extensively used for phenotype prediction based on microbial communities, particularly for disease forecasting, they fail to fully utilize the spatio …”
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Electric Vehicle Charging Load Prediction Considering Spatio-Temporal Node Importance Information von Hou, Sizu, Zhang, Xinyu, Yu, Haiqing

“… spatio-temporal node importance information. The improved PageRank algorithm is used to carry out the importance degree calculation of the load nodes based on the historical load information and the geographic location information …”
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Monthly stream flow forecasting via dynamic spatio-temporal models von Dehghani, Majid, Saghafian, Bahram, Rivaz, Firoozeh, Khodadadi, Ahmad

“… In this research, a dynamic linear spatio-temporal model (DLSTM) was developed and evaluated for monthly streamflow forecasting …”
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Spacecraft relative guidance via spatio-temporal resolution in atmospheric density forecasting von Guglielmo, David, Pérez, David, Bevilacqua, Riccardo, Mazal, Leonel

“… Spatio-temporal resolution, or the mapping of density information to altitude and time, is shown in this work to improve atmospheric density estimation from forecasted density for spacecraft in LEO …”
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Low-dimensional models in spatio-temporal wind speed forecasting von Sanandaji, Borhan M., Tascikaraoglu, Akin, Poolla, Kameshwar, Varaiya, Pravin

“… Integration is facilitated with accurate short-term forecasts of wind power. The paper presents a spatio-temporal wind speed forecasting algorithm that incorporates the time series data of a target station and data of surrounding stations …”
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