These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
264 related articles for article (PubMed ID: 37231039)
1. Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks. Sharma N; Puri V; Mahajan S; Abualigah L; Zitar RA; Gandomi AH Sci Rep; 2023 May; 13(1):8517. PubMed ID: 37231039 [TBL] [Abstract][Full Text] [Related]
2. Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization. Teferra DM; Ngoo LMH; Nyakoe GN Heliyon; 2023 Jan; 9(1):e12802. PubMed ID: 36704286 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Sensorless PV Power Forecasting in Grid-Connected Buildings through Deep Learning. Son J; Park Y; Lee J; Kim H Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30072641 [TBL] [Abstract][Full Text] [Related]
6. Prediction of the outlet flow temperature in a flat plate solar collector using artificial neural network. Shafiey Dehaj M; Zamani Mohiabadi M; Hosseini SMS Environ Monit Assess; 2020 Nov; 192(12):770. PubMed ID: 33215263 [TBL] [Abstract][Full Text] [Related]
7. Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend. Pazikadin AR; Rifai D; Ali K; Malik MZ; Abdalla AN; Faraj MA Sci Total Environ; 2020 May; 715():136848. PubMed ID: 32040994 [TBL] [Abstract][Full Text] [Related]
8. Innovative second-generation wavelets construction with recurrent neural networks for solar radiation forecasting. Capizzi G; Napoli C; Bonanno F IEEE Trans Neural Netw Learn Syst; 2012 Nov; 23(11):1805-15. PubMed ID: 24808074 [TBL] [Abstract][Full Text] [Related]
9. Mapping of solar energy potential in Fiji using an artificial neural network approach. Oyewola OM; Ismail OS; Olasinde MO; Ajide OO Heliyon; 2022 Jul; 8(7):e09961. PubMed ID: 35874079 [TBL] [Abstract][Full Text] [Related]
10. Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle. Deo RC; Downs N; Parisi AV; Adamowski JF; Quilty JM Environ Res; 2017 May; 155():141-166. PubMed ID: 28222363 [TBL] [Abstract][Full Text] [Related]
11. Predicting the Output of Solar Photovoltaic Panels in the Absence of Weather Data Using Only the Power Output of the Neighbouring Sites. Jeong H Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050459 [TBL] [Abstract][Full Text] [Related]
12. A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends. El-Amarty N; Marzouq M; El Fadili H; Bennani SD; Ruano A Environ Sci Pollut Res Int; 2023 Jan; 30(3):5407-5439. PubMed ID: 36424486 [TBL] [Abstract][Full Text] [Related]
13. An adaptive backpropagation algorithm for long-term electricity load forecasting. Mohammed NA; Al-Bazi A Neural Comput Appl; 2022; 34(1):477-491. PubMed ID: 34393381 [TBL] [Abstract][Full Text] [Related]
14. Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources. R Singh A; Kumar RS; Bajaj M; Khadse CB; Zaitsev I Sci Rep; 2024 Aug; 14(1):19207. PubMed ID: 39160194 [TBL] [Abstract][Full Text] [Related]
15. Comparative optimization of global solar radiation forecasting using machine learning and time series models. Belmahdi B; Louzazni M; El Bouardi A Environ Sci Pollut Res Int; 2022 Feb; 29(10):14871-14888. PubMed ID: 34625894 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. A case study of NeuralProphet and nonlinear evaluation for high accuracy prediction in short-term forecasting in PV solar plant. Arias Velásquez RM Heliyon; 2022 Sep; 8(9):e10639. PubMed ID: 36177230 [TBL] [Abstract][Full Text] [Related]
18. Intra-Day Solar Power Forecasting Strategy for Managing Virtual Power Plants. Moreno G; Santos C; Martín P; Rodríguez FJ; Peña R; Vuksanovic B Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451090 [TBL] [Abstract][Full Text] [Related]
19. Short-term solar energy forecasting: Integrated computational intelligence of LSTMs and GRU. Zameer A; Jaffar F; Shahid F; Muneeb M; Khan R; Nasir R PLoS One; 2023; 18(10):e0285410. PubMed ID: 37792739 [TBL] [Abstract][Full Text] [Related]
20. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands. Butt FM; Hussain L; Mahmood A; Lone KJ Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]