换一批Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization.
第一作者：
Demsew Mitiku,Teferra
第一单位：
Pan-African University Institute of Basic Science, Technology and Innovation, Nairobi, Kenya.
作者：
关键词
ANFIS, Adaptive Neuro-Fuzzy Inference SystemANN, Artificial Neural NetworkARIMA, Autoregressive Integrated Moving AverageARMA, Auto-Regressive Moving AverageBPNN, Back Propagation Neural NetworkCA, Cultural AlgorithmCNN, Convolutional Neural NetworkDNI, Direct Normal InsolationDSI, Diffused Solar InsolationECF, Error Correction FactorFF, Firefly AlgorithmFOA, Fruit Fly Optimization AlgorithmFR, Fuzzy RegressionFuzzy systemFuzzy-GA Hybrid algorithmFuzzy-PSO AlgorithmGA, Genetic AlgorithmGHI, Global Horizontal IrradianceLSSVM, Least-Square Support Vector MachineMAPE, Mean Absolute Percentage ErrorNRMSE, Normalized Root-Mean-Square ErrorPSO, Particle Swarm OptimizationPV, PhotovoltaicParticle swarm optimizationSVM, Support Vector MachineSVR, Support Vector RegressionSolar power prediction modelWind power prediction model
DOI
10.1016/j.heliyon.2023.e12802
PMID
36704286
发布时间
2023-02-02
- 浏览0
Heliyon
2023年9卷1期
e12802页
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