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Results 1 to 25 of 71

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Price dynamics of natural gas and the regional methanol marketsMASIH, A. Mansur M; ALBINALI, Khaled; DEMELLO, Lurion et al.Energy policy. 2010, Vol 38, Num 3, pp 1372-1378, issn 0301-4215, 7 p.Article

What drives the change in UK household energy expenditure and associated CO2 emissions? Implication and forecast to 2020CHITNIS, Mona; HUNT, Lester C.Applied energy. 2012, Vol 94, pp 202-214, issn 0306-2619, 13 p.Article

Predicting oil price movements: A dynamic Artificial Neural Network approachALI ABBASI GODARZI; ROHOLLAH MADADI AMIRI; TALAEI, Alireza et al.Energy policy. 2014, Vol 68, pp 371-382, issn 0301-4215, 12 p.Article

Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative pricesKELES, Dogan; GENOESE, Massimo; MÖST, Dominik et al.Energy economics. 2012, Vol 34, Num 4, pp 1012-1032, issn 0140-9883, 21 p.Article

Looking for hysteresis in coal consumption in the USCONGREGADO, Emilio; GOLPE, Antonio A; CARMONA, Mónica et al.Renewable & sustainable energy review. 2012, Vol 16, Num 5, pp 3339-3343, issn 1364-0321, 5 p.Article

Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilitiesGARCIA-MARTOS, Carolina; RODRIGUEZ, Julio; JESUS SANCHEZ, Maria et al.Applied energy. 2013, Vol 101, pp 363-375, issn 0306-2619, 13 p.Article

Adaptive modelling of transient vibration signalsFENGLIN WANG; MECHEFSKE, Chris K.Mechanical systems and signal processing. 2006, Vol 20, Num 4, pp 825-842, issn 0888-3270, 18 p.Article

ARMA modelled time-series classification for structural health monitoring of civil infrastructureGARDEN, E. Peter; BROWNJOHN, James M. W.Mechanical systems and signal processing. 2008, Vol 22, Num 2, pp 295-314, issn 0888-3270, 20 p.Article

Spectral analysis of malfunction mode in endmillingCHIN, Do-Hun; YOON, Moon-Chul; SON, Seung-Kil et al.Journal of mechanical science and technology. 2007, Vol 21, Num 10, pp 1637-1643, issn 1738-494X, 7 p.Conference Paper

Nonlinear dynamical system identification with dynamic noise and observational noiseNAKAMURA, Tomomichi; SMALL, Michael.Physica. D. 2006, Vol 223, Num 1, pp 54-68, issn 0167-2789, 15 p.Article

Measuring unobserved prices using the structural time-series model: The case of cyclingBROADSTOCK, David C; COLLINS, Alan.Transportation research. Part A, Policy and practice. 2010, Vol 44, Num 4, pp 195-200, issn 0965-8564, 6 p.Article

Matched block bootstrap for resampling multiseason hydrologic time seriesSRINIVAS, V. V; SRINIVASAN, K.Hydrological processes. 2005, Vol 19, Num 18, pp 3659-3682, issn 0885-6087, 24 p.Article

A time series sequestration and storage model of atmospheric carbon dioxideARCE, G. L. A. F; CARVALHO, J. A; NASCIMENTO, L. F. C et al.Ecological modelling. 2014, Vol 272, pp 59-67, issn 0304-3800, 9 p.Article

Using simulations and data to evaluate mean sensitivity (ζ) as a useful statistic in dendrochronologyBUNN, Andrew G; JANSMA, Esther; KORPELA, Mikko et al.Dendrochronologia (Verona). 2013, Vol 31, Num 3, pp 250-254, issn 1125-7865, 5 p.Article

A critical view on temperature modelling for application in weather derivatives marketsSALTYTE BENTH, Jūratė; ESPEN BENTH, Fred.Energy economics. 2012, Vol 34, Num 2, pp 592-602, issn 0140-9883, 11 p.Article

Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scalesANGELER, David G; ALLEN, Craig R; JOHNSON, Richard K et al.Journal of applied ecology. 2013, Vol 50, Num 3, pp 572-584, issn 0021-8901, 13 p.Article

Local forcings affect lake zooplankton vulnerability and response to climate warmingALRIC, Benjamin; JENNY, Jean-Philippe; BERTHON, Vincent et al.Ecology (Durham). 2013, Vol 94, Num 12, pp 2767-2780, issn 0012-9658, 14 p.Article

A neuro-fuzzy computing technique for modeling hydrological time seriesNAYAK, P. C; SUDHEER, K. P; RANGAN, D. M et al.Journal of hydrology (Amsterdam). 2004, Vol 291, Num 1-2, pp 52-66, issn 0022-1694, 15 p.Article

Analysis of daily solar power prediction with data-driven approachesHUAN LONG; ZIJUN ZHANG; YAN SU et al.Applied energy. 2014, Vol 126, pp 29-37, issn 0306-2619, 9 p.Article

Pronóstico del precio de la energía eléctrica usando redes neuronales artificiales = Electricity price forecasting using artificial neural networksVILLADA, Fernando; RAUL CADAVID, Diego; MOLINA, Juan David et al.Revista Facultad de Ingeniería Universidad de Antioquia. 2008, Num 44, pp 111-118, issn 0120-6230, 8 p.Article

Time-series modeling of moisture exposure on timber structuresHÄGLUND, Martin; ISAKSSON, Tord; HOLST, Jan et al.Building and environment. 2007, Vol 42, Num 3, pp 1515-1521, issn 0360-1323, 7 p.Article

Time-series model for wireless fading channels in isotropic and non-isotropic scattering environmentsSHARMA, P.IEEE communications letters. 2005, Vol 9, Num 1, pp 46-48, issn 1089-7798, 3 p.Article

Determination of fuzzy relations for economic fuzzy time series models by neural networksMARCEK, Dusan.Computing and informatics. 2003, Vol 22, Num 5, pp 457-471, issn 1335-9150, 15 p.Article

Estimation of waste from computers and mobile phones in IranRAHMANI, Mehdi; NABIZADEH, Ramin; YAGHMAEIAN, Kamyar et al.Resources, conservation and recycling. 2014, Vol 87, pp 21-29, issn 0921-3449, 9 p.Article

Latent risk and trend models for the evolution of annual fatality numbers in 30 European countriesDUPONT, Emmanuelle; COMMANDEUR, Jacques J. F; SANTAMARINA-RUBIO, Elena et al.Accident analysis and prevention. 2014, Vol 71, pp 327-336, issn 0001-4575, 10 p.Article

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