Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

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One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level by Ercan Avşar, Waleed Mahmood

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FORECASTING PRACTICES IN ACADEMIC IR: METHODOLOGICAL MAINSTREAM AND UNSOLVED PROBLEMS by I. V. Fomin, K. P. Kokarev, B. I. Ananyev, N. Yu. Silaev, A. A. Sushentsov, A. D. Chekov

Subjects: “…forecasting…”
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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

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ASSESSMENT OF THE FINANCIAL CONDITION OF RUSSIAN BANKS AND WAYS TO IMPROVE by O. S. Dyakonova, N. V. Kovaleva

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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

Subjects: “…Photovoltaic power forecasting…”
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Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review by Roberta Pace, Vincenzo Schiano Di Cola, Maurilia Maria Monti, Antonio Affinito, Salvatore Cuomo, Francesco Loreto, Michelina Ruocco

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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

Subjects: “…direct normal irradiance forecasting…”
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GRİ TAHMİN VE BOX-JENKINS YÖNTEMLERİ İLE ANTALYA LİMANI İÇİN AYLIK KONTEYNER TALEP TAHMİNİ by Şeyma Çelik Eroğlu, Fatma Gul Altin

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Tweetluenza: Predicting Flu Trends from Twitter Data by Balsam Alkouz, Zaher Al Aghbari, Jemal Hussien Abawajy

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Approach to the organization of decision support in the formulation of innovative regional development strategies applying adaptive-simulation model by L. Chernyakhovskaya, M. Nizamutdinov, V. Oreshnikov, A. Atnabaeva

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

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