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Results 1 to 25 of 551

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WIND SPEED CHARACTERISTICS AND RESOURCE ASSESSMENT USING WEIBULL PARAMETERSREHMAN, S; MAHBUB ALAM, A. M; MEYER, J. P et al.International journal of green energy. 2012, Vol 9, Num 5-8, pp 800-814, issn 1543-5075, 15 p.Article

Classification of wind speed distributions using a mixture of Dirichlet distributionsCALIF, Rudy; EMILION, Richard; SOUBDHAN, Ted et al.Renewable energy. 2011, Vol 36, Num 11, pp 3091-3097, issn 0960-1481, 7 p.Article

Development of benchmark wind speed for Gharo and Jhimpir, PakistanIRFAN AFZAL MIRZA; KHAN, Nasim A; MEMON, Naeem et al.Renewable energy. 2010, Vol 35, Num 3, pp 576-582, issn 0960-1481, 7 p.Article

On wind speed pattern and energy potential in NigeriaADARAMOLA, M. S; OYEWOLA, O. M.Energy policy. 2011, Vol 39, Num 5, pp 2501-2506, issn 0301-4215, 6 p.Article

WEIBULL PARAMETERS ESTIMATION USING FOUR DIFFERENT METHODS AND MOST ENERGY-CARRYING WIND SPEED ANALYSISBAGIORGAS, Haralambos S; GIOULI, Mihalakakou; REHMAN, Shafiqur et al.International journal of green energy. 2011, Vol 8, Num 5-8, pp 529-554, issn 1543-5075, 26 p.Article

WIND ENERGY POTENTIAL ON THE COAST OF LAKE VANYUMAK, H; UCAR, T; YAYLA, S et al.International journal of green energy. 2012, Vol 9, Num 1-4, pp 1-12, issn 1543-5075, 12 p.Article

Is the wind a periodical phenomenon? The case of MexicoHERNANDEZ-ESCOBEDO, Quetzalcoatl; MANZANO-AGUGLIARO, Francisco; GAZQUEZ-PARRA, Jose Antonio et al.Renewable & sustainable energy review. 2011, Vol 15, Num 1, pp 721-728, issn 1364-0321, 8 p.Article

SHORT-TERM WIND SPEED FORECASTING BASED ON FUZZY ARTMAPASHRAF UL HAQUE; MENG, Julian.International journal of green energy. 2011, Vol 8, Num 1-4, pp 65-80, issn 1543-5075, 16 p.Article

Evaluation of hybrid forecasting approaches for wind speed and power generation time seriesJING SHI; JINMEI GUO; SONGTAO ZHENG et al.Renewable & sustainable energy review. 2012, Vol 16, Num 5, pp 3471-3480, issn 1364-0321, 10 p.Article

Wind energy assessment incorporating particle swarm optimization methodTIAN PAU CHANG.Energy conversion and management. 2011, Vol 52, Num 3, pp 1630-1637, issn 0196-8904, 8 p.Article

Evaluating the performance of wind turbines in selected locations in Oyo state, NigeriaADARAMOLA, M. S; OYEWOLA, O. M.Renewable energy. 2011, Vol 36, Num 12, pp 3297-3304, issn 0960-1481, 8 p.Article

Performance analysis of four modified approaches for wind speed forecastingWENYU ZHANG; JIE WU; JIANZHOU WANG et al.Applied energy. 2012, Vol 99, pp 324-333, issn 0306-2619, 10 p.Article

Kernel ridge regression with active learning for wind speed predictionDOUAK, Fouzi; MELGANI, Farid; BENOUDJIT, Nabil et al.Applied energy. 2013, Vol 103, pp 328-340, issn 0306-2619, 13 p.Article

Wind energy assessment and wind farm simulation in Triunfo: Pernambuco, BrazilDE ARAUJO LIMA, Laerte; ROSENDO BEZERRA, Celso.Renewable energy. 2010, Vol 35, Num 12, pp 2705-2713, issn 0960-1481, 9 p.Article

Wind energy potential assessment for the site of Inner Mongolia in ChinaJIE WU; JIANZHOU WANG; DEZHONG CHI et al.Renewable & sustainable energy review. 2013, Vol 21, pp 215-228, issn 1364-0321, 14 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

PDF models and synthetic model for the wind speed fluctuations based on the resolution of Langevin equationCALIF, Rudy.Applied energy. 2012, Vol 99, pp 173-182, issn 0306-2619, 10 p.Article

Very short-term wind speed prediction: A new artificial neural network―Markov chain modelPOURMOUSAVI KANI, S. A; ARDEHALI, M. M.Energy conversion and management. 2011, Vol 52, Num 1, pp 738-745, issn 0196-8904, 8 p.Article

An integrated control method for a wind farm to reduce frequency deviations in a small power systemKANEKO, Toshiaki; UEHARA, Akie; SENJYU, Tomonobu et al.Applied energy. 2011, Vol 88, Num 4, pp 1049-1058, issn 0306-2619, 10 p.Article

A model for vertical wind speed data extrapolation for improving wind resource assessment using WAsPDURISIC, Zeljko; MIKULOVIC, Jovan.Renewable energy. 2012, Vol 41, pp 407-411, issn 0960-1481, 5 p.Article

Estimation of wind energy potential using different probability density functionsTIAN PAU CHANG.Applied energy. 2011, Vol 88, Num 5, pp 1848-1856, issn 0306-2619, 9 p.Article

AN INNOVATIVE HYBRID ALGORITHM FOR VERY SHORT-TERM WIND SPEED PREDICTION USING LINEAR PREDICTION AND MARKOV CHAIN APPROACHPOURMOUSAVI KANI, S. A; RIAHY, G. H; MAZHARI, D et al.International journal of green energy. 2011, Vol 8, Num 1-4, pp 147-162, issn 1543-5075, 16 p.Article

A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target siteCARTA, José A; VELAZQUEZ, Sergio; CABRERA, Pedro et al.Renewable & sustainable energy review. 2013, Vol 27, pp 362-400, issn 1364-0321, 39 p.Article

Fractal dimension of wind speed time seriesCHANG, Tian-Pau; KO, Hong-Hsi; LIU, Feng-Jiao et al.Applied energy. 2012, Vol 93, pp 742-749, issn 0306-2619, 8 p.Article

Comparing methods to calculate atmospheric stability-dependent wind speed profiles: A case study on coastal locationGUALTIERI, Giovanni; SECCI, Sauro.Renewable energy. 2011, Vol 36, Num 8, pp 2189-2204, issn 0960-1481, 16 p.Article

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