197 related articles for article (PubMed ID: 35449427)
1. High-resolution wind speed forecast system coupling numerical weather prediction and machine learning for agricultural studies - a case study from South Korea.
Shin JY; Min B; Kim KR
Int J Biometeorol; 2022 Jul; 66(7):1429-1443. PubMed ID: 35449427
[TBL] [Abstract][Full Text] [Related]
2. Enhancement of ANN-based wind power forecasting by modification of surface roughness parameterization over complex terrain.
Kim J; Shin HJ; Lee K; Hong J
J Environ Manage; 2024 Jun; 362():121246. PubMed ID: 38823298
[TBL] [Abstract][Full Text] [Related]
3. Performance enhancement of short-term wind speed forecasting model using Realtime data.
Ashraf M; Raza B; Arshad M; Khan BM; Zaidi SSH
PLoS One; 2024; 19(5):e0302664. PubMed ID: 38820359
[TBL] [Abstract][Full Text] [Related]
4. Numerical Forecast Correction of Temperature and Wind Using a Single-Station Single-Time Spatial LightGBM Method.
Tang R; Ning Y; Li C; Feng W; Chen Y; Xie X
Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009735
[TBL] [Abstract][Full Text] [Related]
5. Ensemble downscaling in coupled solar wind-magnetosphere modeling for space weather forecasting.
Owens MJ; Horbury TS; Wicks RT; McGregor SL; Savani NP; Xiong M
Space Weather; 2014 Jun; 12(6):395-405. PubMed ID: 26213518
[TBL] [Abstract][Full Text] [Related]
6. FOCUSED-Short-Term Wind Speed Forecast Correction Algorithm Based on Successive NWP Forecasts for Use in Traffic Control Decision Support Systems.
Kunić Z; Ženko B; Boshkoska BM
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34068317
[TBL] [Abstract][Full Text] [Related]
7. Direct and indirect short-term aggregated turbine- and farm-level wind power forecasts integrating several NWP sources.
Yakoub G; Mathew S; Leal J
Heliyon; 2023 Nov; 9(11):e21479. PubMed ID: 37954395
[TBL] [Abstract][Full Text] [Related]
8. Effects of wind speed and wind direction on crop yield forecasting using dynamic time warping and an ensembled learning model.
Bediako-Kyeremeh B; Ma T; Rong H; Osibo BK; Mamelona L; Nti IK; Amoah L
PeerJ; 2024; 12():e16538. PubMed ID: 38881862
[TBL] [Abstract][Full Text] [Related]
9. Weather forecasting based on data-driven and physics-informed reservoir computing models.
Mammedov YD; Olugu EU; Farah GA
Environ Sci Pollut Res Int; 2022 Apr; 29(16):24131-24144. PubMed ID: 34825327
[TBL] [Abstract][Full Text] [Related]
10. Probabilistic Solar Wind and Geomagnetic Forecasting Using an Analogue Ensemble or "Similar Day" Approach.
Owens MJ; Riley P; Horbury TS
Sol Phys; 2017; 292(5):69. PubMed ID: 32055078
[TBL] [Abstract][Full Text] [Related]
11. Forecasting of solar radiation for a cleaner environment using robust machine learning techniques.
Thangavelu M; Parthiban VJ; Kesavaraman D; Murugesan T
Environ Sci Pollut Res Int; 2023 Mar; 30(11):30919-30932. PubMed ID: 36441304
[TBL] [Abstract][Full Text] [Related]
12. Impacts of meteorological variables and machine learning algorithms on rice yield prediction in Korea.
Ha S; Kim YT; Im ES; Hur J; Jo S; Kim YS; Shim KM
Int J Biometeorol; 2023 Nov; 67(11):1825-1838. PubMed ID: 37667047
[TBL] [Abstract][Full Text] [Related]
13. Short-term wind speed prediction using hybrid machine learning techniques.
Gupta D; Natarajan N; Berlin M
Environ Sci Pollut Res Int; 2022 Jul; 29(34):50909-50927. PubMed ID: 34251573
[TBL] [Abstract][Full Text] [Related]
14. Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms.
Ibrahim M; Alsheikh A; Al-Hindawi Q; Al-Dahidi S; ElMoaqet H
Comput Intell Neurosci; 2020; 2020():8439719. PubMed ID: 32377179
[TBL] [Abstract][Full Text] [Related]
15. A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate.
Puntel LA; Sawyer JE; Barker DW; Thorburn PJ; Castellano MJ; Moore KJ; VanLoocke A; Heaton EA; Archontoulis SV
Front Plant Sci; 2018; 9():436. PubMed ID: 29706974
[TBL] [Abstract][Full Text] [Related]
16. Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.
Kashyap GR; Sridhara S; Manoj KN; Gopakkali P; Das B; Jha PK; Prasad PVV
Int J Biometeorol; 2024 Jun; 68(6):1179-1197. PubMed ID: 38676745
[TBL] [Abstract][Full Text] [Related]
17. Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data.
Zewdie GK; Lary DJ; Liu X; Wu D; Levetin E
Environ Monit Assess; 2019 Jun; 191(7):418. PubMed ID: 31175476
[TBL] [Abstract][Full Text] [Related]
18. Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India.
Paul RK; Yeasin M; Kumar P; Kumar P; Balasubramanian M; Roy HS; Paul AK; Gupta A
PLoS One; 2022; 17(7):e0270553. PubMed ID: 35793366
[TBL] [Abstract][Full Text] [Related]
19. Machine learning approach for the estimation of missing precipitation data: a case study of South Korea.
Han H; Kim B; Kim K; Kim D; Kim HS
Water Sci Technol; 2023 Aug; 88(3):556-571. PubMed ID: 37578874
[TBL] [Abstract][Full Text] [Related]
20. Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation.
Hasan M; Marjan MA; Uddin MP; Afjal M; Kardy S; Ma S; Nam Y
Front Plant Sci; 2023; 14():1234555. PubMed ID: 37636091
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]