First book of its kind to introduce electrical smart meter data analytics in the power. Smart meter data analytics using r and hadoop ieee conference. As amount of smart meters is greater, the possibility of data analysis is greater. Pdf a hybrid ictsolution for smart meter data analytics. Cognizant 2020 insights executive summary utilities have made significant investments in. A variety of smart meter analytics algorithms and applications have been. The range of applications is diverse, but the trend is toward endtoend solutions. Pdf the widespread popularity of smart meters enables an immense amount of finegrained electricity consumption data to be collected. A variety of smart meter analytics algorithms and applications have been proposed, mainly in the smart grid literature. Efficient energy conservation policies must be implemented in order to reduce residential electricity consumption. Implementation details were omitted, and the pro that includes common data analysis tasks on smart meter data. Ilyas, university of waterloo shichao jin, university of waterloo smart electricity meters have been replacing conventional meters worldwide, enabling automated collec. To date, substantial works have been conducted on smart meter data analytics.
Smart electricity meters have been replacing conventional meters worldwide, enabling automated collection of finegrained e. These important issues are orthogonal to smart meter analytics, which is the focus of this paper. How to generate greater value from smart meter data. Pdf smart electricity meters have been replacing conventional meters worldwide, enabling automated collection of finegrained e. The growing importance of data analytics what do utilities want in analytics offerings. How to generate greater value from smart meter data by managing and analyzing smart meter event data, utilities can improve customer experience, grid reliability, operational efficiency and revenue assurance. A smart meter data analytics system university of waterloo. Smart meters are the advanced meters capable of measuring energy consumption at a finegrained time interval.
Index termssmart meter, big data, data analytics, demand response, consumer segmentation, clustering, load forecasting, anomaly detection. Applications, methodologies, and challenges article pdf available in ieee transactions on smart grid 10 3. This cities demonstration project is aimed at investigating data mining of smart meter electricity consumption data. Smart meter data analytics contain 15minute meter data sets that are used to. Initially only the data from smart meters will be used to develop statistical classification framework to identify different consumption patterns. Abstractsmart electricity meters are replacing conventional meters worldwide and have enabled a new application domain. Systems, algorithms and benchmarking xiufeng liu, technical university of denmark lukasz golab, university of waterloo wojciech golab, university of waterloo ihab f. A smart meter data analytics university of waterloo. The system offers an information integration pipeline to ingest smart meter data. The leftmost is the data ingestion layer which consists of integrating realtime data stream from smart meters, and. Receiving hundreds of thousands of times more data on a daily basis makes the task of assimilating it and drawing reliable, actionable conclusions from it even more difficult. About us contact us quick reference guides smt performance frequently asked questions terms and conditions. Smart meter data analytics electricity consumer behavior.