Application of Temporal Fusion Transformers to Run-Of-The-River Hydropower Scheduling by Rafael Francisco, José Pedro Matos, Rui Marinheiro, Nuno Lopes, Maria Manuela Portela, Pedro Barros

“…Key challenges such as filtering observed hydropower outputs (to remove strong, and unpredictable human influence) and adapting the historical series to installed capacity increases are discussed. An analysis of meteorological information from several sources, including ground information, reanalysis, and forecasting models, was also undertaken. …”
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ANNUAL FORECAST IN PATIENTS WITH ACUTE ISCHEMIC STROKE: ROLE OF PATHOLOGICAL ANKLE-BRACHIAL INDEX by A. N. Sumin, J. A. Kolmykova, I. N. Kukhareva, M. V. Ott, N. I. Vodopyanova, A. A. Morkvenas, O. A. Trubnikova, A. V. Kovalenko

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The comparative study of machine learning agent models in flood forecasting for tidal river reaches by Ju Zhou, Liming Chen, Tengfei Hu, Hao Lu, Yong Shi, Liangang Chen

“…Traditional hydrodynamic models struggle to meet the timeliness requirements for flood forecasting and early warning. Moreover, existing machine learning studies have limitations in integrating hydrological principles and explaining model applicability. …”
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Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system by R. R. King, M. J. Martin, L. Gaultier, J. Waters, C. Ubelmann, C. Donlon

“…We focus on the expected impact on the Met Office operational ocean analysis and forecasting system of assimilating an observation network including either 12 nadir altimeters or 2 wide-swath altimeters.…”
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Simulation and Forecast of Coastal Ecosystem Services in Jiaodong Peninsula Based on SSP-RCP Scenarios by Wenhui Guo, Ranghui Wang, Fanhui Meng

“…Future climate change and land use were forecast based on scenarios from the Coupled Model Intercomparison Project Phase 6 (CMIP6). …”
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Open energy services: forecasting and optimization as a service for energy management applications at scale by David Wölfle, Kevin Förderer, Tobias Riedel, Natascha Fernengel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck

“…To this end, we present the Energy Service Generics software framework that allows the derivation of fully functional services from existing forecasting or optimization code with ease. This work documents the strictly systematic development of the framework, beginning with requirement analysis, from which a sophisticated design concept is derived, followed by a description of the implementation of the framework. …”
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Wind Speed Forecasting with Differentially Evolved Minimum-Bandwidth Filters and Gated Recurrent Units by Khathutshelo Steven Sivhugwana, Edmore Ranganai

“…Wind data are often cyclostationary due to cyclic variations, non-constant variance resulting from fluctuating weather conditions, and structural breaks due to transient behaviour (due to wind gusts and turbulence), resulting in unreliable wind power supply. In wavelet hybrid forecasting, wind prediction accuracy depends heavily on the decomposition level (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi></mrow></semantics></math></inline-formula>) and the wavelet filter technique selected. …”
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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting by Ubaid Ahmed, Anzar Mahmood, Ahsan Raza Khan, Levin Kuhlmann, Khurram Saleem Alimgeer, Sohail Razzaq, Imran Aziz, Amin Hammad

“…However, the intermittent nature of solar energy requires accurate forecasting of solar irradiance (SI) for reliable operation of photovoltaics (PVs) integrated systems. …”
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Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets by Seongho Bak, Sowon Choi, Donguk Yang, Doyoon Kim, Heeseon Rho, Kyoobin Lee

“…Accurate photovoltaic (PV) power forecasting enables stable grid operation; however, acquiring sufficient and diverse data remains challenging. …”
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Forecasting life expectancy in São Paulo City, Brazil, amidst the COVID-19 pandemic by Maria L. Miranda, Cassio M. Turra, Ugofilippo Basellini

“…The city's historical mortality trajectory and the disruptive effects of COVID-19 have introduced challenges to mortality forecasting. Methods In this study, we used a unique dataset dating 1920–2022 to forecast life expectancy in São Paulo until 2050 using the Lee-Carter and Lee-Miller methods. …”
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A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting by Jiawen Li, Binfan Lin, Peixian Wang, Yanmei Chen, Xianxian Zeng, Xin Liu, Rongjun Chen

“…Short-cycle agricultural product sales forecasting significantly reduces food waste by accurately predicting demand, ensuring producers match supply with consumer needs. …”
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Operational Forecasting of Wind Speed for an Self-Contained Power Assembly of a Traction Substation by P. V. Matrenin, A. I. Khalyasmaa, A. G. Rusina, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski

“…A specific feature of this work is the stability investigation of the model trained on the data of long-term observations to long-term changes, as well as the analysis of the possibilities of improving the accuracy of forecasting due to regular further training of the model on newly available data. …”
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Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

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Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances by Xiaoyin Xu, Zhumei Luo, Menglong Feng

“…Wind power forecasting is challenging because of complex, nonlinear relationships between inherent patterns and external disturbances. …”
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Methods of Assessing Milk Proteins Coagulation as a Part of the Forecasting System of Technological Properties by Elena E. Illarionova, Alexandr G. Kruchinin, Svetlana N. Turovskaya, Alana V. Bigaeva

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Nomograms and scoring system for forecasting overall and cancer‐specific survival of patients with prostate cancer by Yuan Zhou, Changming Lin, Lian Zhu, Rentao Zhang, Lei Cheng, Yuanyuan Chang

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Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques by Vanessa Steindorf, Hamna Mariyam K. B., Nico Stollenwerk, Aitor Cevidanes, Jesús F. Barandika, Patricia Vazquez, Ana L. García-Pérez, Maíra Aguiar

“…The random forest (RF) model demonstrated the highest forecasting accuracy, followed by the SARIMAX model. …”
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FORECASTING NUMBER OF INTERNATIONAL TOURIST ARRIVALS USING MULTI INPUT INTERVENTION ARIMA MODEL by Hidayatul Khusna, Muhammad Mashuri, Muhammad Ahsan, Wibawati Wibawati, Diaz Fitra Aksioma, Novri Suhermi

“…To determine how big the impact of the Covid-19 pandemic as well as the recovery process on international tourist visits through Soekarno-Hatta, Ngurah-Rai, and Kualanamu airports in the coming period, forecasting is needed. The forecasting method utilized in this study is multi-input intervention analysis. …”
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An optimization protocol for MRI examination resource allocation based on demand forecasting and linear programming by Zhongbin Zhou, Hanyu Zhou, Yuanyuan Qiao, Zihan Gao, Ying Yang

“…An optimization flowchart for MRI examination resource allocation was developed by integrating critical process components, thus streamlining and systematizing the optimization process to improve efficiency. Analysis of the data revealed a weekly cyclical trend in MRI examination applications. …”
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Molecular epidemiology of Neisseria gonorrhoeae isolates in Russia, 2015–2023: current trends and forecasting by Ilya Kandinov, Boris Shaskolskiy, Dmitry Kravtsov, Anatoliy Larkin, Alexei Kubanov, Marina Shpilevaya, Julia Shagabieva, Nikita Nosov, Dmitry Gryadunov

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