An artificial immune-based hybrid multi-layer feedforward neural network for predicting grid-connected photovoltaic system output

Energy Procedia

Volumn 14, Issue , 2012, Pages 260-264

  Sulaiman, Shahril Irwan ^a   Rahman, Titik Khawa Abdul ^a   Musirin, Ismail ^a   Shaari, Sulaiman ^a  

^a UNIVERSITI TEKNOLOGI MARA   (Malaysia)

Author keywords

Artificial immune system (AIS); Grid connected photovoltaic (GCPV); Module temperature (MT); Multi layer feedforward neural network (MLFNN); Solar irradiance (SI)

Indexed keywords

ACTIVATION FUNCTIONS; ARTIFICIAL IMMUNE SYSTEM; COMPUTATION TIME; GRID-CONNECTED; GRID-CONNECTED PHOTOVOLTAIC SYSTEM; HIDDEN LAYERS; LEARNING RATES; MODULE TEMPERATURE; MODULE TEMPERATURE (MT); OPTIMIZERS; PHOTOVOLTAIC; PREDICTION ERRORS; SOLAR IRRADIANCES; TRAINING PROCESS;

FORECASTING; IMMUNOLOGY; LEARNING ALGORITHMS; PHOTOVOLTAIC EFFECTS; SOLAR RADIATION;

FEEDFORWARD NEURAL NETWORKS;

EID: 84858430271     PISSN: 18766102     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.egypro.2011.12.927     Document Type: Conference Paper

References (5)

1. Sulaiman SI, Musirin I, Abdul Rahman TKA. Prediction of Grid-connected Photovoltaic System Output Using Threevariate ANN Models. WSEAS Transactions on Information Science and Applications 2008; 6:1339-1348.
2. Sulaiman SI, Abdul Rahman TKA, Musirin I, Shaari S. Performance Analysis of Two-variate ANN Models for Predicting the Output Power from Grid-connected Photovoltaic System. International Journal on Power, Energy and Artificial Intelligence 2009; 2:73-77.
3. Yao X, Liu Y. Towards Designing Artificial Neural Networks by Evolution, Applied Mathematics and Computation 1998; 91: 83-90.
4. Sulaiman SI, Abdul Rahman TKA, Musirin I. Partial Evolutionary ANN for Output Prediction of a Grid-connected Photovoltaic System, International Journal of Computer and Electrical Engineering 2009; 1: 41-46.
5. Fu X, Per D, Zhang S. Evolving Neural Network Using Variable String Genetic Algorithm for Color Infrared Aerial Image Classification, Chinese Geographical Science 2008; 18: 162-170.