[PDF] Top 20 Robust recovery of missing data in electricity distribution systems

... the data source is modelled as a mul- tivariate Gaussian random process and second order statistics are ...is robust to inaccurate second order ...incorporates missing state variable vectors, is ...a ... See full document

... of missing data in electricity distribution systems is ...Gaussian distribution the matrix completion recovery is compared to estimation and information theoretic ...the ... See full document

... new robust two-stage Data Envelopment Analysis (DEA) for efficiency evaluation of the electricity power production and distribution ...the electricity companies. Traditional studies in ... See full document

... Missing data is a well-studied subject in ...statistical missing data imputation techniques, such as least squares estimates, Bartlett's ANCOVA and likelihood-based approaches in ...for ... See full document

... Economic Systems Research, 23, 73–89] asserts, it is superior for environmental analysis to disaggregate the I–O table, even if only partial information exists for the ...the electricity sector of the ... See full document

... The underlying idea behind Markov regime-switching is to represent the observed stochas- tic behavior of a specific time series by two (or more) separate states or regimes with different underlying stochastic processes. ... See full document

... information systems due to unavailability of data and must be impute before the dataset is ...these missing values we developed proposed method with imputation methods and by comparing with the ... See full document

... probability distribution needs to be considered, which will result in an estimated feature domain random variable, describing both the mean of the speech features as well as the associated degree of ... See full document

... Morris and Fitzgerald [42] presented MRF-based motion field segmentation for motion-compensated interpolation of dirt areas. In [58], Markov modelling using HMM and MRF has been applied in detection of all film defects ... See full document

... the distribution of hourly pay has changed since then, both overall and within subgroups, such as by ...this distribution (Stuttard and Jenkins ...of distribution functions, especially at the ... See full document

... of missing persons is a central issue in post-conflict societies facing truth recovery and human rights ...the recovery of missing for ...truth recovery even for in-group ... See full document

... waiting Distribution of electricity is Quality- ...Again distribution of electricity is in no space: no any storage space, flowing or passing of electric supply through the wire or conductor ... See full document

... The simulation results are summarised for age range 40–80 in Table 3.3. Part A of Table 3.3 shows results from simulations of the entire subpopulation, under the assumed normal distribution of the random effects. ... See full document

... the data concentrators with the meter interface ...the electricity meters were given all the attention in this paper while other meters like water meters and gas meters were not ... See full document

... a robust approach based on Weibull distribution (WDCM) for clustering gene expression ...Weibull distribution and have the similar distribu- tion ...the distribution parameters of their gene ... See full document

... "[inquiry electricity fee] customers query the amount of electricity charges this month, has been informed", "[time-rate electricity price] whether the customer consultation has been ... See full document

... an electricity network that can cost-efficiently inte- grate the behaviour and actions of all users connected to it – generators, consumers and those that do both— in order to ensure economically efficient, ... See full document

... Kriging interpolated results are dependent on the selec- tion of variogram model largely, and different variogram model will lead to different results. In this paper, the sea surface salinity and the sea surface height ... See full document

... the missing data ratio to 10-90% (∆=10) and set random data defects according to the missing data ratios, and with the assumption that missing data regularly occur, the ... See full document

... The λ values in this work are only proposed as an example. At this point, one cannot state with certainty which λ should be used for each situation since its optimal value probably depends on discipline. Deciding on the ... See full document