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No references found	It is possible to describe the stochastic component of the load by the expected deviation [zeta](t), which represents the conditional mathematical expectation of the stochastic component and normally distributed noncorrelated residual deviation (white noise) [xi](t) . Stochasticity of the electrical network load by Meldorf, M.; Taht, T.; Kilter, J. / Oil Shale It is possible to describe the stochastic component of the load by expected deviation [zeta]( ), which represents the conditional mathematical expectation of the stochastic component and normally distributed noncorrelated residual deviation (white noise) [xi]t. Temperature dependency of electrical network load by Meldorf, M.; Truefeldt, U.; Kilter, J. / Oil Shale Normalized deviation of the load consists of temperature dependency [gamma](t) and stochastic component v(t) [theta](t) = [gamma](t) + v(t) Stochastic component in its turn is divided into three components: v(t) = [zeta](t) + [xi](t) + [pi](t) where [zeta](t) is expected deviation of the load; [xi](t) is residual deviation of the load (white noise); [pi](t) is peak deviation of the load. Estimation of distribution network state on the basis of a ... by Meldorf, M.; Treufeldt, U.; Kilter, J. / Oil Shale	Residence Permit residence time Residency, Clinical Resident resident engineer resident executive resident inspector resident module resident monitor resident program resident protection resident routine residential occupancy residential school residential-custodial care facility residual residual air residual anticline residual charge residual clay residual compaction residual current residual current device residual deflection residual deformation residual deviation residual dome residual elements residual error rate residual error ratio residual field residual flux density residual free gas residual fuel oil Residual Gases residual induction residual intensity residual ionization residual kame residual liquid residual liquor residual magnetic induction residual magnetism Residual Magnetization residual map residual material residual method residual mineral residual mode residual modulation residual ochre	Residual Connectedness Reliability residual contamination Residual Correlation Kalman Filter Bank Residual cover Residual Covers Residual Crude Oil residual current Residual current breaker Residual current circuit breaker Residual Current Circuit Breaker with Overcurrent Protection Residual Current Circuit Device Residual current device Residual current device Residual current device residual current devices residual current devices Residual Current Monitor residual currents residual cyst residual cyst residual cyst residual deflection residual deformation Residual Demand Hop-Count Product residual dental arch residual dental arch residual dental arch residual dental arch residual dental arch residual dental caries residual deviation Residual dipolar coupling residual disease Residual Disinfectant Concentration Residual dividend approach Residual Dividend Approaches residual dome Residual Dwelling Site Opportunity Residual Efficient Organization residual elements Residual Equipment Return Loss Residual error residual error rate residual error ratio residual estate Residual Excited Linear Prediction Residual Fee Residual Fees residual field Residual figure Residual flux density residual forces Residual Frame Error Rate residual free gas Residual Frequency Offset

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It is possible to describe the stochastic component of the load by the expected deviation [zeta](t), which represents the conditional mathematical expectation of the stochastic component and normally distributed noncorrelated residual deviation (white noise) [xi](t) .

Stochasticity of the electrical network load by Meldorf, M.; Taht, T.; Kilter, J. / Oil Shale

It is possible to describe the stochastic component of the load by expected deviation [zeta]( ), which represents the conditional mathematical expectation of the stochastic component and normally distributed noncorrelated residual deviation (white noise) [xi]t.

Temperature dependency of electrical network load by Meldorf, M.; Truefeldt, U.; Kilter, J. / Oil Shale

Normalized deviation of the load consists of temperature dependency [gamma](t) and stochastic component v(t) [theta](t) = [gamma](t) + v(t) Stochastic component in its turn is divided into three components: v(t) = [zeta](t) + [xi](t) + [pi](t) where [zeta](t) is expected deviation of the load; [xi](t) is residual deviation of the load (white noise); [pi](t) is peak deviation of the load.

Estimation of distribution network state on the basis of a ... by Meldorf, M.; Treufeldt, U.; Kilter, J. / Oil Shale