Abstract
Βig data that overwhelm smart grid (SG) are susceptible to errors that can further affect business analytics and related human decisions. In [1], the impact of measurement differences that follow various distributions has been examined via initial Statistical Hybrid Model (iSHM) footprints while the mitigation impact of piecewise monotonic data approximations has been qualitatively assessed via corresponding iSHM footprints in [2]. In this companion paper, the potential of applying piecewise monotonic data approximations in the intrinsic procedure of iSHM rather than its inputs and the quantitative mitigation analysis of piecewise monotonic data approximations against measurement differences via iSHM footprints are proposed for the overhead low-voltage broadband over power lines (OV LV BPL) topologies. Citation: Lazaropoulos, A. G. (2020). Business Analytics and IT in Smart Grid – Part 3: New Application Aspect and the Quantitative Mitigation Analysis of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences. Trends in Renewable Energy, 6, 214-233. DOI: 10.17737/tre.2020.6.2.00119
Highlights
BPL technology is among the communications proposals that are going to transform the vintage power grid into an advanced IP-based communications network enhanced with a plethora of broadband applications and business analytics, the so called SG [1]-[8]
To [2], the countermeasures effect of L1PMA and L2WPMA of the traditional and new aspects is quantitatively benchmarked for given intensity of the measurement difference CUD while the impact of the number of L1PMA monotonic sections and the L2WPMA sign changes is here quantitatively assessed with respect to the mitigation of measurement differences
To [2], the iSHM footprint due to measurement differences of the arbitrary 5dB maximum value aCUD for the real indicative OV LV BPL urban case A is depicted in Fig. 1 as superimposed white circles on the iSHM class map as well as the iSHM footprint due to the application of L1PMA of the traditional aspect against the aforementioned measurement differences is shown as superimposed cyan squares when 4 monotonic sections are assumed
Summary
BPL technology is among the communications proposals that are going to transform the vintage power grid into an advanced IP-based communications network enhanced with a plethora of broadband applications and business analytics, the so called SG [1]-[8]. Business analytics of SG exploit a plethora of related broadband iSHM tools, such as the definition procedure, the class maps and the iSHM footprints whose results are critically affected by the coupling scheme transfer function data of DHM. It has been shown in [1] that the behavior of iSHM footprints due to the measurement differences of the OV LV BPL networks may be sensitive even to low intensities of measurement differences. Note that the qualitative methodology of [2] examined the degree of shrinkage and stress of the iSHM footprints due to measurement differences by the applied piecewise monotonic data approximations towards the theoretical Weibull CASD MLEs of the real indicative OV LV BPL urban case A
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