Hydrological and hydrodynamic coupling simulation under composite underlying surfaces in urban polder areas by Cheng Chen, Binquan Li, Yang Xiao, Huihui Li, Taotao Zhang, Dong Xu, Huanghao Yu

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Marketing Tools in Modern Higher Education Institution: Tendencies of Research by I. V. Zakharova

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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

Subjects: “…energy aggregation service provider|load forecasting|federated learning|data privacy|neural network…”
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Hydrological Forecasting Technology and Its Application in Xizhijiang River Basin by XIE Hehai, LIANG Zhihong, ZHA Dawei, MA Xinghua

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An adaptive load forecasting model in microgrids: A cloud-edge orchestrated approach tailored for accuracy, real-time response, and privacy needs by Yan Zhao, Jiaqi Shi, Donglai Wang, He Jiang, Xiang Zhang

Subjects: “…Load forecasting…”
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A power load forecasting method using cosine similarity and a graph convolutional network by JI Shan, JIANG Wei, JING Xin

Subjects: “…multi-node power load forecasting…”
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Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods by JIA Heping, GUO Yuchen, MA Qianxin, YANG Zhenglin, ZHENG Yaxian, ZENG Dan, LIU Dunnan

Subjects: “…national unified electricity market|spot market|electricity price forecasting|machine learning methods…”
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On-line strength assessment of distribution systems with distributed energy resources by Jifeng Liang, Shiyang Rong, Tengkai Yu, Tiecheng Li, Hanzhang Qu, Ye Cao

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Decoding links between magmatic processes and eruption dynamics: whole-rock time series petrology of the 2021 Tajogaite eruption, La Palma by Jane H. Scarrow, Matthew J. Pankhurst, Olivia A. Barbee, Katy J. Chamberlain, Daniel J. Morgan, Marc-Antoine Longpré, Samantha Tramontano, James Hickey, David A. Neave, Gavin K. Rollinson, Alexander G. Stewart, Penny E. Wieser, Beverley C. Coldwell, William Hernández, Luca D’Auria, Nemesio M. Pérez

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Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure by Nataliya Shakhovska, Lesia Mochurad, Rosana Caro, Sotirios Argyroudis

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Quantile Regression for Probabilistic Electricity Price Forecasting in the U.K. Electricity Market by Yuki Osone, Daisuke Kodaira

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Novel nonlinear wind power prediction based on improved iterative algorithm by Fu Zhen-yu, Lin Gui-quan, Tian Wei-da, Pan Zhi-hao, Zhang Wei-cong

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The influence of walking accessibility on station-to-station passenger flow and its interaction with metropolitan race/class segregation: A case study of MARTA’s heavy-rail network... by Luis Enrique Ramos-Santiago, Luke Derochers

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Multivariate Deep Learning Approach for Electric Vehicle Speed Forecasting by Youssef Nait Malek, Mehdi Najib, Mohamed Bakhouya, Mohammed Essaaidi

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Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm by Yonghui Duan, Chen Li, Xiang Wang, Yibin Guo, Hao Wang

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A Real Estate Price Index Forecasting Scheme Based on Online News Sentiment Analysis by Tao Xu, Yingying Zhao, Jie Yu

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Transformer-based short-term traffic forecasting model considering traffic spatiotemporal correlation by Ande Chang, Yuting Ji, Yiming Bie

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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

Subjects: “…Electricity Forecasting…”
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Neural Networks for Operational SYM‐H Forecasting Using Attention and SWICS Plasma Features by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

Subjects: “…geomagnetic indices forecasting…”
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Application of Harris Hawks Optimization Algorithm in Optimization of Generalized Nonlinear Muskingum Parameters ——A Case Study of the Luohe River by CHEN Haitao, ZHAO Zhijie

Subjects: “…flood forecasting…”
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