Works matching DE "WIND forecasting"
Results: 1737
DEAD CALM.
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- Power Engineer, 2005, v. 19, n. 1, p. 25, doi. 10.1049/pe:20050104
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Grouped Gaussian processes for solar power prediction.
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- Machine Learning, 2019, v. 108, n. 8/9, p. 1287, doi. 10.1007/s10994-019-05808-z
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Natural hazards in Australia: storms, wind and hail.
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- Climatic Change, 2016, v. 139, n. 1, p. 55, doi. 10.1007/s10584-016-1737-7
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Variations in wind direction and speed from arctic to the Caspian Sea as a manifestation of modern climate changes.
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- Water Resources, 2006, v. 33, n. 6, p. 686, doi. 10.1134/S0097807806060108
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Predicting Energy Generation in Large Wind Farms: A Data-Driven Study with Open Data and Machine Learning.
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- Inventions (2411-5134), 2023, v. 8, n. 5, p. 126, doi. 10.3390/inventions8050126
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Combining Empirical and Physics-Based Models for Solar Wind Prediction.
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- Universe (2218-1997), 2024, v. 10, n. 5, p. 191, doi. 10.3390/universe10050191
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Data Decomposition Modeling Based on Improved Dung Beetle Optimization Algorithm for Wind Power Prediction.
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- Data (2306-5729), 2024, v. 9, n. 12, p. 146, doi. 10.3390/data9120146
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基于EMD-GWO-SVR组合模型的短期风速预测.
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- Electronic Science & Technology, 2023, v. 36, n. 5, p. 1, doi. 10.16180/j.cnki.issn1007-7820.2023.05.001
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基于粒子群算法的主动配电网多目标优化调度.
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- Electronic Science & Technology, 2022, v. 35, n. 9, p. 7, doi. 10.16180/j.cnki.issn1007-7820.2022.09.002
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Extreme Wind Regime Responses to Climate Variability and Change in the Inner South Coast of British Columbia, Canada.
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- Atmosphere - Ocean (Canadian Meteorological & Oceanographic Society), 2009, v. 47, n. 1, p. 41, doi. 10.3137/AO1003.2009
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Tracking-dispatch of a combined wind-storage system based on model predictive control and two-layer fuzzy control strategy.
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- Protection & Control of Modern Power Systems, 2023, v. 8, n. 1, p. 1, doi. 10.1186/s41601-023-00334-6
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Proposal of Coastal Flooding Scheme Using Smart Balloon Powered by Wind Turbine Generator.
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- Journal Européen des Systèmes Automatisés, 2023, v. 56, n. 3, p. 451, doi. 10.18280/jesa.560312
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Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts.
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- Environmetrics, 2021, v. 32, n. 6, p. 1, doi. 10.1002/env.2678
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Machine learning-based simplified methods using shorter wind measuring masts for the time ahead wind forecasting at higher altitude for wind energy applications.
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- Renewable Energy & Environmental Sustainability, 2022, v. 7, p. 1, doi. 10.1051/rees/2022012
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Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 3, p. 2074
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A Review on Forecasting of Renewable Sources of Energy with Solar and Wind for Improved Sustainability.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 1, Part 1, p. 1179
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Post-processing methods for calibrating the wind speed forecasts in central regions of Chile.
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- Annales Mathematicae et Informaticae, 2021, v. 53, p. 93, doi. 10.33039/ami.2021.03.012
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考虑产流模式空间分布的流域-城市 复合系统洪水预报模型.
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- Advances in Water Science / Shuikexue Jinzhan, 2023, v. 34, n. 4, p. 530, doi. 10.14042/j.cnki.32.1309.2023.04.006
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STATISTICAL ANALYSIS OF WIND POWER FORECAST IN RAJASTHAN.
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- International Journal of Agricultural & Statistical Sciences, 2019, v. 15, n. 2, p. 763
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Evaluation of MM5 High-Resolution Real-Time Forecasts over the Urban Area of Athens, Greece.
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- Journal of Applied Meteorology (1988), 2004, v. 43, n. 11, p. 1666, doi. 10.1175/JAM2170.1
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Emergency response transport forecasting using historical wind field pattern matching.
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- Journal of Applied Meteorology (1988), 2000, v. 39, n. 3, p. 446, doi. 10.1175/1520-0450(2000)039<0446:ERTFUH>2.0.CO;2
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The operational CMEMS wind wave forecasting system of the Black Sea.
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- Journal of Operational Oceanography, 2024, v. 17, n. 3, p. 165, doi. 10.1080/1755876X.2024.2364974
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Performance assessment of a Persian Gulf wind and wave forecasting system.
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- Journal of Operational Oceanography, 2023, v. 16, n. 3, p. 189, doi. 10.1080/1755876X.2021.2024949
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Towards a particle trajectory modelling approach in support of South African search and rescue operations at sea.
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- Journal of Operational Oceanography, 2023, v. 16, n. 2, p. 131, doi. 10.1080/1755876X.2021.1911485
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The Potential of Machine Learning for Wind Speed and Direction Short-Term Forecasting: A Systematic Review.
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- Computers (2073-431X), 2023, v. 12, n. 10, p. 206, doi. 10.3390/computers12100206
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A spatio-temporal model for predicting wind speeds in Southern California.
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- Communications in Statistics: Case Studies & Data Analysis, 2023, v. 9, n. 3, p. 321, doi. 10.1080/23737484.2023.2217137
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Landing Point Analysis and Forecast Wind Data Validation for Low-Ballistic-Coefficient Flight Vehicles with a Deployable Aeroshell.
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- Transactions of the Japan Society of Aeronautical & Space Science, 2022, v. 65, n. 6, p. 244, doi. 10.2322/tjsass.65.244
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Efficiency Analysis of Speed Managed Descent in the Presence of Wind Prediction Error.
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- Transactions of the Japan Society of Aeronautical & Space Science, 2018, v. 61, n. 1, p. 1, doi. 10.2322/tjsass.61.1
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Deep-learning-based Wind Speed Forecasting Considering Spatial–temporal Correlations with Adjacent Wind Turbines.
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- Journal of Coastal Research, 2022, v. 93, p. 623, doi. 10.2112/SI93-084.1
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Coastal Wind Speed's Multi-Parameter Forecasting Based on Quantitative Measurement of Its Predictability.
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- Journal of Coastal Research, 2020, v. 115, p. 662, doi. 10.2112/JCR-SI115-172.1
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Coastal Wind Speed's Multi-Parameter Forecasting Based on Quantitative Measurement of Its Predictability.
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- Journal of Coastal Research, 2020, v. 115, p. 662, doi. 10.2112/JCR-SI115-172.1
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Fleur de Sel Composition and Production: Analysis and Numerical Simulation in an Artisanal Saltern.
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- Journal of Coastal Research, 2019, v. 35, n. 6, p. 1200, doi. 10.2112/JCOASTRES-D-18-00132.1
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Deep-learning-based Wind Speed Forecasting Considering Spatial–temporal Correlations with Adjacent Wind Turbines.
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- Journal of Coastal Research, 2019, v. 93, p. 623, doi. 10.2112/SI93-084.1
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Application of Coupled Mathematical Model of Wave and Tidal Current in Strong Wind on Muddy Coast of Lianyungang, China.
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- Journal of Coastal Research, 2019, v. 93, p. 220, doi. 10.2112/SI93-030.1
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Deep-learning-based Wind Speed Forecasting Considering Spatial-temporal Correlations with Adjacent Wind Turbines.
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- Journal of Coastal Research, 2019, v. 93, p. 623, doi. 10.2112/SI93-084.1
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- Article
Application of Coupled Mathematical Model of Wave and Tidal Current in Strong Wind on Muddy Coast of Lianyungang, China.
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- Journal of Coastal Research, 2019, v. 93, p. 220, doi. 10.2112/SI93-030.1
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- Article
Iranian Seas Waters Forecast - Part I: An Improved Model for The Persian Gulf.
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- Journal of Coastal Research, 2018, v. 85, p. 1216, doi. 10.2112/SI85-244.1
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- Article
Accuracy Improvement of Particle-tracking Simulation Considering Wind Speed using Various Drift Objects.
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- Journal of Coastal Research, 2018, v. 85, p. 901, doi. 10.2112/SI85-181.1
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Comparison of the Calculated and Measured Wave Heights in Inland Lakes.
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- Journal of Coastal Research, 2016, v. 32, n. 4, p. 814, doi. 10.2112/JCOASTRES-D-14-00195.1
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A GIS-Based Method to Determine Maximum Fetch Applied to the North Sea-Baltic Sea Transition.
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- Journal of Coastal Research, 2006, v. 22, n. 3, p. 640, doi. 10.2112/03-0125.1
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- Article
Particle Swarm Optimization-Enhanced Twin Support Vector Regression for Wind Speed Forecasting.
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- Journal of Intelligent Systems, 2019, v. 28, n. 5, p. 905, doi. 10.1515/jisys-2017-0378
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Evaluation of forecasted wind speed at turbine hub height and wind ramps by five NWP models with observations from 262 wind farms over China.
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- Meteorological Applications, 2024, v. 31, n. 6, p. 1, doi. 10.1002/met.70007
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Assessing the weather conditions for urban cyclists by spatially dense measurements with an agent‐based approach.
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- Meteorological Applications, 2023, v. 30, n. 6, p. 1, doi. 10.1002/met.2164
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Meteorological conditions during periods of low wind speed and insolation in Germany: The role of weather regimes.
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- Meteorological Applications, 2023, v. 30, n. 4, p. 1, doi. 10.1002/met.2141
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Characterizing the variability and meteorological drivers of wind power and solar power generation over Africa.
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- Meteorological Applications, 2022, v. 29, n. 5, p. 1, doi. 10.1002/met.2093
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Characterizing renewable energy compound events across Europe using a logistic regression‐based approach.
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- Meteorological Applications, 2022, v. 29, n. 5, p. 1, doi. 10.1002/met.2089
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Convective-scale numerical weather prediction and warnings over Lake Victoria: Part II—Can model output support severe weather warning decision-making?
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- Meteorological Applications, 2022, v. 29, n. 3, p. 1, doi. 10.1002/met.2055
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Machine learning in calibrating tropical cyclone intensity forecast of ECMWF EPS.
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- Meteorological Applications, 2021, v. 28, n. 6, p. 1, doi. 10.1002/met.2041
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Weather forecast for the 35th America's Cup (2017) winners based on a limited area model.
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- Meteorological Applications, 2020, v. 27, n. 1, p. 1, doi. 10.1002/met.1879
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Missing data imputation of high‐resolution temporal climate time series data.
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- Meteorological Applications, 2020, v. 27, n. 1, p. 1, doi. 10.1002/met.1873
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