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Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles
, 2017Chao Sun, Fengchun Sun, Hongwen He
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Electricity load forecasting by an improved forecast engine for building level consumers
, 2017Y. Liu, Wei Wang, N. Ghadimi
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Hour-ahead wind power forecast based on random forests
, 2017Ali Lahouar, J. Slama
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Recursive neural network model for analysis and forecast of PM10 and PM2.5
, 2017F. Biancofiore +9 more
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Journal of Intelligent & Fuzzy Systems, 2017
Abbas Rahimi Gollou, N. Ghadimi
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Abbas Rahimi Gollou, N. Ghadimi
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Short-term residential load forecasting: Impact of calendar effects and forecast granularity
, 2017Peter Lusis +3 more
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A New Feature Selection Technique for Load and Price Forecast of Electrical Power Systems
IEEE Transactions on Power Systems, 2017O. Abedinia, N. Amjady, H. Zareipour
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1986
In this paper Bayesian methods are applied to dynamical linear models \[ Y_ t=F_ t\theta_ t+v_ t,\quad \theta_ t=G_ t\theta_{t- 1}+w_ t, \] with normal distribution assumptions and dynamical generalized linear models with observations of the exponential family.
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In this paper Bayesian methods are applied to dynamical linear models \[ Y_ t=F_ t\theta_ t+v_ t,\quad \theta_ t=G_ t\theta_{t- 1}+w_ t, \] with normal distribution assumptions and dynamical generalized linear models with observations of the exponential family.
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