Evaluation of Chopped Sugarcane Storage in Different Periods of the Season and Their Influence on the Sugar and Ethanol Process by Leonardo Lucas Madaleno, Camila Carla Guimarães, Elaine Hartmann Ferri, Rodrigo Vezzani Franzé

“…Weight loss is more intense depending on the period of the season when the weather conditions are drying. In terms of the quality of the process and products, a reduction in starch levels was detected with storage of the extracted juice and syrup, probably due to the metabolism of the chopped sugarcane. …”
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Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs by Archana Rout, Biswa Ranjan Senapati, Debahuti Mishra

“…Using cloud-based services ensures scalability and computational efficiency for data storage, processing, and model deployment in weather parameters. To address data gaps, generative adversarial networks (GANs) are employed for data imputation within those parameters. …”
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Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks by BAI Yunpeng, ZHANG Zhiyan, XU Cai, GUO Chuangxin, LIU Zhuping, ZHU Wenhao

“…This study explores the impact of renewable energy output and weather conditions on equipment failures and establishes a comprehensive scenario for power grids under renewable energy integration. …”
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Evaluation of land use compatibility in rural areas in terms of the desirability of location Case study: Binalood County by Maryam Ghasemi, Amin Faal Jalali

“…the analysis of land use utility matrix based on human and natural criteria in residential areas is the necessity and issues that planners in urban and rural areas in terms of access to communication network, central location, weather, noise and etc are a turning point for how optimal use is of resources. the aim of this study is to identify the level of user desirability in rural areas of Binaluod county. in this study, 14 user groups with 52 % of land use terms of central location, access to communication network, smell, facilities and equipment, slope, air, sound and vision were investigated. the present study is descriptive - analytical and data collection were collected in the field method by 48 local experts in eight villages. the results show that based on the four alternatives (4: Completely desirable and 1: totally undesirable) the bakery users with an average of 3/99 and the gymnasium with an average of 4 have made the highest compatibility in terms of the desirability of the location and land of the historic tank with /38 and the dilapidated housing with 3/40. …”
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Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement by Dácil Díaz-Bello, Carlos Vargas-Salgado, Manuel Alcazar-Ortega, David Alfonso-Solar

“…Abstract Reliable prediction of photovoltaic power generation is key to the efficient management of energy systems in response to the inherent uncertainty of renewable energy sources. Despite advances in weather forecasting, photovoltaic power prediction accuracy remains a challenge. …”
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Field Measurement of PV Array Temperature for Tracking and Concentrating 1 k Wp Generators Installed in Malaysia by M. Effendy Ya’acob, H. Hizam, M. Amran M. Radzi, M. Z. A. A. Kadir

“…The effect of temperature elements for PV array with tracking and concentrating features installed in the tropical ground condition is presented. The temperature segment covers ambient temperature and surface and bottom temperature for three types of PV generator systems, namely, Fixed Flat (FF), Tracking Flat (TF), and Concentrating PV (CPV) generators. …”
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The Sensitivity Analysis of Whitecapping Dissipation Term for Calibration of SWAN Model Forced with ERA5 Winds in the Gulf of Oman by Amir Siahsarani, Majid Azadi, Behzad Layeghi, Davoud Babazadeh

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Impact of Parameterization of Physical Processes on Simulation of Track and Intensity of Tropical Cyclone Nargis (2008) with WRF-NMM Model by Sujata Pattanayak, U. C. Mohanty, Krishna K. Osuri

“…For this purpose, the nonhydrostatic mesoscale model (NMM) dynamic core of weather research and forecasting (WRF) system is used. …”
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Research on the Prediction of the Water Demand of Construction Engineering Based on the BP Neural Network by Hao Peng, Han Wu, Junwu Wang

“…According to the results of the case study, there were four main factors that affected the construction water consumption of the Taiyangchen Project, namely, the intraday amount of pouring concrete, the intraday weather, the number of workers, and the intraday amount of wood used. …”
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Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms by R. Kabilan, V. Chandran, J. Yogapriya, Alagar Karthick, Priyesh P. Gandhi, V. Mohanavel, Robbi Rahim, S. Manoharan

“…The proposed prediction methodology comprises a data quality stage, machine learning algorithm, weather clustering assessment, and an accuracy assessment. …”
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The Development of a Customization Framework for the WRF Model over the Lake Victoria Basin, Eastern Africa on Seasonal Timescales by R. Argent, X. Sun, F. Semazzi, L. Xie, B. Liu

“…The main aim is to present a customization framework for use over the lake. …”
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Analysis of Warm and Cold Season Thunderstorms for Istanbul by Muhammed Başpınar, Veli Yavuz

“…A thunderstorm (TS) is a severe weather phenomenon characterized by intense showers, hail, lightning, thunder, tornadoes, turbulence, and gusty winds. …”
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Genome-editing opportunities to enhance cattle productivity in the tropics by Luiz Sergio de Almeida Camargo, Jorge Fernando Pereira

“…Flies and ticks proliferate easily under hot-humid weather, which makes difficult the control of their population, resulting in an increased parasitism. …”
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Comparison of Parametric and Nonparametric Methods for Analyzing the Bias of a Numerical Model by Isaac Mugume, Charles Basalirwa, Daniel Waiswa, Joachim Reuder, Michel d. S. Mesquita, Sulin Tao, Triphonia J. Ngailo

“…Numerical models are presently applied in many fields for simulation and prediction, operation, or research. …”
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Integrating water availability for electrolysis into energy system modeling by Julian Walter, Lina Fischer, Sandra Venghaus, Albert Moser

“…As a result, fresh water availability will diminish ever more and more due to droughts and extreme weather events. Water is a key part of many central aspects of life but will also become important in the future for electrolysis to synthesize hydrogen, a promising energy carrier in energy systems for the transition from fossil to renewable energy. …”
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Nitrogen Dioxide Monitoring with Satellite Imagery over Ankara, Turkey by Maryam Zare Shahne, Mostafa Jazari, Zahra Amiri

“…This enables the regular and continuous monitoring of phenomena related to various pollutants on a global scale. Presently, weather models leverage satellite imagery to record and report pollutant levels hourly and daily, allowing for the identification of sources and patterns of pollutants. …”
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Stakeholder Driven Sensor Deployments to Characterize Chronic Coastal Flooding in Key West Florida by K. L. O’Donnell, T. Tomiczek, A. Higgins, S. Munoz, S. Scyphers

“…Sensors recorded flooding even when NOAA water levels did not exceed the elevation or flooding thresholds set by the National Weather Service (NWS), indicating that NOAA water levels alone were not sufficient in predicting flooding. …”
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Intelligent LED Lighting System by I. I. Maronchuk, I. V. Shirokov, A. A. Velchenko, V. I. Mironchuk

“…The article presents the development of an intelligent control system for LED lighting, applicable to autonomous electric lighting installations, outdoor lighting fixtures on posts to illuminate highways, roads, streets and surrounding areas. …”
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Temperature Load Parameters and Thermal Effects of a Long-Span Concrete-Filled Steel Tube Arch Bridge in Tibet by Tuo Shi, Jielian Zheng, Nianchun Deng, Zheng Chen, Xiao Guo, Shi Wang

“…According to the results, the following recommendations were made: (1) the average temperature of concrete in the pipe after the formation of concrete strength should be used to calculate the closure temperature of CFST arch bridges in Tibet; however, the standard calculation formula was still applicable; (2) the daily average temperature in extreme weather should be taken as the maximum and minimum effective temperature; (3) we presented recommended values for the influence range and gradient temperature for a single large-diameter pipe; and (4) a refined finite element model that included the arch base should be used to verify the temperature effects during bridge design.…”
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Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data by L. Pfitzenmaier, P. Kollias, P. Kollias, N. Risse, I. Schirmacher, B. Puigdomenech Treserras, K. Lamer

“…Finally, Orbital-Radar allows for evaluating kilometre-scale numerical weather prediction models with EarthCARE CPR observations. …”
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