Outlier Data Treatment Methods Toward Smart Grid Applications

Introduction to Smart Grid Applications

Water demand estimation and outlier detection from smart meter data using classification and Big Data methods

Automatic Meter Reading (AMR) systems are being deployed in many cities to obtain insight into the status and the behavior of District Metering Area (DMA) with more granularity. Until now, the water consumption readings of the population were taken one per month or one each two-months. In contrast, AMR systems provide hourly readings for households and more frequent readings for big consumers. ...

Outlier Detection Methods for Industrial Applications

An outlier is an observation (or measurement) that is different with respect to the other values contained in a given dataset. Outliers can be due to several causes. The measurement can be incorrectly observed, recorded or entered into the process computer, the observed datum can come from a different population with respect to the normal situation and thus is correctly measured but represents ...

Mosaik - Smart Grid Simulation API - Toward a Semantic based Standard for Interchanging Smart Grid Simulations

Simulation is an important method to test and evaluate new control mechanisms for future Smart Grids. To generate sound simulation results one has to use validated and established simulation models. In this paper we present the first two out of six layers of our approach to a modular simulation framework, called mosaik. It will allows to specify, compose and simulate Smart Grid scenarios based ...

Semantic Information Integration for Smart Grid Applications*

The Los Angeles Smart Grid Project aims to use informatics techniques to bring about a quantum leap in the way demand response load optimization is performed in utilities. Semantic information integration, from sources as diverse as Internet-connected smart meters and social networks, is a linchpin to support the advanced analytics and mining algorithms required for this. In association with it...