... exchangers heat transfer power engineering computing solar absorber-convertors solar power stations steam turbines The fossil fuels currently satisfying most of the global energy demand could be gradually substituted by renewable energy sources, thus limiting pollutants and CO 2 emissions...

.... wind turbine status pattern data mining fault prediction association rule mining faults component failure data mining maintenance engineering power engineering computing wind turbines 14 02 2010 10 11 2010 28 01 2011 28 01 2011 2011 American Society...

... of MAPE (Eq. 6 ). 10 04 2009 23 01 2010 14 06 2010 14 06 2010 data mining frequency-domain analysis neural nets poles and towers power engineering computing SCADA systems sensitivity analysis vibrations wavelet transforms wind turbines vibration wind turbine...

... 2009 data mining power engineering computing regression analysis support vector machines time series wind power plants wind turbines power ramp rate prediction wind farm data-mining algorithms multivariate time series model parameter selection Wind power generation...

...) variables. For PLS models built, two first factors account for approximately 75% of variability among explanatory variables and approximately 65% among target variables. Hence, system state can be projected into the space of first two factors (Fig. 3 ). data mining power engineering computing...

... maintenance engineering vacuum techniques optical windows power engineering computing solar energy conversion fenestration insulation window glass energy efficiency Practical glazing systems with very low overall heat loss have in general employed multiple glass panes with an inert gas...

.... Associate Editor: J. Davidson. 11 July 2004 27 April 2004 10 August 2004 20 07 2005 steam power stations solar power stations solar absorber-convertors thermal stresses flow instability power engineering computing cooling The modelling of the DSG process...

... computing wind turbines blades laminates finite element analysis power engineering computing shear strength Static failure of a wind turbine blade can result from exceeding the strength of the material or the buckling stability of the structure ( 1 ). Buckling is often the critical parameter...

... engineering computing regression analysis power utilisation This paper describes the authors’ entry to the Energy Predictor Shootout II. The purpose of the contest was to encourage research in methods of estimating the reductions in energy use in large commercial buildings due to equipment retrofits...

... photovoltaic power systems solar cell arrays solar power stations power generation economics power engineering computing spreadsheet programs Solar electric power plant capacity is measured in kW and is priced in $/kW. Electric energy from a power plant is measured in kWh and is priced in ¢/kWh...

... turbines wind power plants power engineering computing neural nets learning (artificial intelligence) statistical analysis parameter estimation During the last decade, models have emerged 1 2 3 4 5 to estimate and predict the power produced by wind farms. To maximize the use of wind...

... input to advanced aeroelastic and dynamic analysis codes. wind turbines composite materials CAD power engineering computing structural engineering computing 01 April 2001 01 July 2001 Contributed by the Solar Energy Division of THE AMERICAN SOCIETY OF MECHANICAL...

... ENERGY ENGINEERING . Manuscript received by the ASME Solar Energy Division, Apr. 2001; final revision, Jul. 2001. Associate Editor: D. Berg. 01 Apr 2001 01 Jul 2001 wind turbines structural engineering computing power engineering computing wind deterministic algorithms...