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Development of an artificial neural network model for the prediction of hydrocarbon density at high-pressure, high-temperature conditionsHAGHBAKHSH, Reza; ADIB, Hooman; KESHAVARZ, Peyman et al.Thermochimica acta. 2013, Vol 551, pp 124-130, issn 0040-6031, 7 p.Article

Improvement of temperature-based ANN models for solar radiation estimation through exogenous data assistanceMARTI, Pau; GASQUE, Maria.Energy conversion and management. 2011, Vol 52, Num 2, pp 990-1003, issn 0196-8904, 14 p.Article

Modeling solar still production using local weather data and artificial neural networksSANTOS, Noe I; SAID, Aly M; JAMES, David E et al.Renewable energy. 2012, Vol 40, Num 1, pp 71-79, issn 0960-1481, 9 p.Article

Short-term wind power forecasting in Portugal by neural networks and wavelet transformCATALAO, J. P. S; POUSINHO, H. M. I; MENDES, V. M. F et al.Renewable energy. 2011, Vol 36, Num 4, pp 1245-1251, issn 0960-1481, 7 p.Article

Optimal operation conditions for a single-stage heat transformer by means of an artificial neural network inverseCOLORADO, D; HERNANDEZ, J. A; RIVERA, W et al.Applied energy. 2011, Vol 88, Num 4, pp 1281-1290, issn 0306-2619, 10 p.Article

Lung function interpolation by means of neural-network-supported analysis of respiration soundsOUD, M.Medical engineering & physics. 2003, Vol 25, Num 4, pp 309-316, issn 1350-4533, 8 p.Article

ANN virtual sensors for emissions prediction and controlWAI KEAN YAP; KARRI, Vishy.Applied energy. 2011, Vol 88, Num 12, pp 4505-4516, issn 0306-2619, 12 p.Article

Artificial neural network predictions on erosive wear of polymersZHANG, Z; BARKOULA, N.-M; KARGER-KOCSIS, J et al.Wear. 2003, Vol 255, Num 1, pp 708-713, issn 0043-1648, 6 p.Conference Paper

Optimum estimation and forecasting of renewable energy consumption by artificial neural networksAZADEH, A; BABAZADEH, R; ASADZADEH, S. M et al.Renewable & sustainable energy review. 2013, Vol 27, pp 605-612, issn 1364-0321, 8 p.Article

Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blendsHARUN MOHAMED ISMAIL; HOON KIAT NG; CHEEN WEI QUECK et al.Applied energy. 2012, Vol 92, pp 769-777, issn 0306-2619, 9 p.Article

Daily UV radiation modeling with the usage of statistical correlations and artificial neural networksLEAL, S. S; TIBA, C; PIACENTINI, R et al.Renewable energy. 2011, Vol 36, Num 12, pp 3337-3344, issn 0960-1481, 8 p.Article

Prediction of response to incision using the mutual information of electroencephalograms during anaesthesiaHUANG, L; YU, P; JU, F et al.Medical engineering & physics. 2003, Vol 25, Num 4, pp 321-327, issn 1350-4533, 7 p.Article

Evolutive design of ARMA and ANN models for time series forecastingFLORES, Juan J; GRAFF, Mario; RODRIGUEZ, Hector et al.Renewable energy. 2012, Vol 44, pp 225-230, issn 0960-1481, 6 p.Article

EPNN-based prediction of meteorological data for renewable energy systemsMELLI, A; DRIF, M; MALEK, A et al.Revue des énergies renouvelables. 2010, Vol 13, Num 1, pp 25-47, issn 1112-2242, 23 p.Article

Investigation of water gas-shift activity of Pt—MOx—CeO2/ Al2O3 (M = K, Ni, Co) using modular artificial neural networksERDEM GÜNAY, M; AKPINAR, Fatma; ILSEN ONSAN, Z et al.International journal of hydrogen energy. 2012, Vol 37, Num 3, pp 2094-2102, issn 0360-3199, 9 p.Article

Estimation of monthly wind power outputs of WECS with limited record period using artificial neural networksTU, Yi-Long; CHANG, Tsang-Jung; CHEN, Cheng-Lung et al.Energy conversion and management. 2012, Vol 59, pp 114-121, issn 0196-8904, 8 p.Article

Artificial neural networks for controlling wind-PV power systems: A reviewKARABACAK, Kerim; CETIN, Numan.Renewable & sustainable energy review. 2014, Vol 29, pp 804-827, issn 1364-0321, 24 p.Article

Multi-horizon solar radiation forecasting for Mediterranean locations using time series modelsVOYANT, Cyril; PAOLI, Christophe; MUSELLI, Marc et al.Renewable & sustainable energy review. 2013, Vol 28, pp 44-52, issn 1364-0321, 9 p.Article

Modeling of multi-junction solar cells for estimation of EQE under influence of charged particles using artificial neural networksPATRA, Jagdish C; MASKELL, Douglas L.Renewable energy. 2012, Vol 44, pp 7-16, issn 0960-1481, 10 p.Article

A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networksHUI LIU; CHAO CHEN; TIAN, Hong-Qi et al.Renewable energy. 2012, Vol 48, pp 545-556, issn 0960-1481, 12 p.Article

Electric energy demands of Turkey in residential and industrial sectorsBILGILI, Mehmet; SAHIN, Besir; YASAR, Abdulkadir et al.Renewable & sustainable energy review. 2012, Vol 16, Num 1, pp 404-414, issn 1364-0321, 11 p.Article

Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)MOHANDES, M; REHMAN, S; RAHMAN, S. M et al.Applied energy. 2011, Vol 88, Num 11, pp 4024-4032, issn 0306-2619, 9 p.Article

Stochastic models for wind speed forecastingBIVONA, S; BONANNO, G; BURLON, R et al.Energy conversion and management. 2011, Vol 52, Num 2, pp 1157-1165, issn 0196-8904, 9 p.Article

Diagnosis methodology for the turbocharger groups installed on a 1 MW internal combustion engineBARELLI, L; BIDINI, G; BONUCCI, F et al.Applied energy. 2009, Vol 86, Num 12, pp 2721-2730, issn 0306-2619, 10 p.Article

Detection of causes of casting defects assisted by artificial neural networksPERZYK, M; KOCHANSKI, A.Proceedings of the Institution of Mechanical Engineers. Part B. Journal of engineering manufacture. 2003, Vol 217, Num 9, pp 1279-1284, issn 0954-4054, 6 p.Article

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