Smart meter data analytics pdf

Pdf the widespread popularity of smart meters enables an immense amount of finegrained electricity consumption data to be collected. 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 variety of smart meter analytics algorithms and applications have been proposed, mainly in the smart grid literature. Index termssmart meter, big data, data analytics, demand response, consumer segmentation, clustering, load forecasting, anomaly detection. Cognizant 2020 insights executive summary utilities have made significant investments in. Ilyas, university of waterloo shichao jin, university of waterloo smart electricity meters have been replacing conventional meters worldwide, enabling automated collec. Initially only the data from smart meters will be used to develop statistical classification framework to identify different consumption patterns.

Pdf a hybrid ictsolution for smart meter data analytics. The range of applications is diverse, but the trend is toward endtoend solutions. Smart meters are the advanced meters capable of measuring energy consumption at a finegrained time interval. Smart meter data analytics electricity consumer behavior. Systems, algorithms and benchmarking xiufeng liu, technical university of denmark lukasz golab, university of waterloo wojciech golab, university of waterloo ihab f.

To date, substantial works have been conducted on smart meter data analytics. A variety of smart meter analytics algorithms and applications have been. 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. A smart meter data analytics university of waterloo. These important issues are orthogonal to smart meter analytics, which is the focus of this paper. This cities demonstration project is aimed at investigating data mining of smart meter electricity consumption data.

Applications, methodologies, and challenges article pdf available in ieee transactions on smart grid 10 3. A smart meter data analytics system university of waterloo. The system offers an information integration pipeline to ingest smart meter data. Smart meter data analytics can help utilities better understand customer consumption. Smart meter data analytics using r and hadoop ieee conference. Abstractsmart electricity meters are replacing conventional meters worldwide and have enabled a new application domain. About us contact us quick reference guides smt performance frequently asked questions terms and conditions. Efficient energy conservation policies must be implemented in order to reduce residential electricity consumption. The leftmost is the data ingestion layer which consists of integrating realtime data stream from smart meters, and. The growing importance of data analytics what do utilities want in analytics offerings. Smart meter data analytics contain 15minute meter data sets that are used to. Implementation details were omitted, and the pro that includes common data analysis tasks on smart meter data. As amount of smart meters is greater, the possibility of data analysis is greater.