Short term solar insolation prediction: P-ELM approach - Syed, Mahaboob Shareef; Suresh, C. V.; Sivanagaraju, S. (International journal of parallel, emergent and distributed systems, 2018)
Keywords: Algorithms; ANFIS: Artificial Neural Fuzzy Inference System; ANN: Artificial neural networks; AR: Autoregressive; ARIMA: Autoregressive integrated moving average; ARMA: Auto regressive moving average; ARX: autoregressive model with exogenous input; CI: Clearness Index; clearness index; Computer simulation; CRO: Coral reefs optimization; DHI: Diffuse horizontal irradiance; DNI: Direct normal irradiance; ELM: Extreme learning machine algorithms; FNN: feed-forward neural network; Forecasting; GA: Genetic algorithm; GHI: Global horizontal irradiance; Irradiance; ISFOC: Spanish Institute for Concentration Photo Voltaic Systems; LLR: Local linear regression; Machine learning; MAE: Mean absolute error; mean absolute error; MLP: Multilayer perceptron algorithm; MLPNN: Multi-layered perceptron neural network; NARX: Nonlinear autoregressive models with exogenous; Neural networks; NN: Neural network; NNE: Neural network ensemble; NRMSE: Normalized root means square error; NSRDB: National solar radiation database; NWP: Numeric weather prediction; P-ELM: Persistent extreme learning machine; persistence-extreme learning machine; PV: Photo voltaic; Rainfall; RBF: Radial basis function; RBFNN: Radial basis function neural network; Real time; RMSE: Root mean square error; RNMSE: Rooted normalized mean square error; RNN: Recurrent neural network; root mean square error; SVD: Singular value decomposition; SVM: Support vector machine; Weather