Journal ArticleDOI
A Data Mining Framework for Electricity Consumption Analysis From Meter Data
TLDR
This paper presents a novel data mining framework for the exploration and extraction of actionable knowledge from data generated by electricity meters that incorporates functionality for interim summarization and incremental analysis using intelligent techniques.Abstract:
This paper presents a novel data mining framework for the exploration and extraction of actionable knowledge from data generated by electricity meters. Although a rich source of information for energy consumption analysis, electricity meters produce a voluminous, fast-paced, transient stream of data that conventional approaches are unable to address entirely. In order to overcome these issues, it is important for a data mining framework to incorporate functionality for interim summarization and incremental analysis using intelligent techniques. The proposed Incremental Summarization and Pattern Characterization (ISPC) framework demonstrates this capability. Stream data is structured in a data warehouse based on key dimensions enabling rapid interim summarization. Independently, the IPCL algorithm incrementally characterizes patterns in stream data and correlates these across time. Eventually, characterized patterns are consolidated with interim summarization to facilitate an overall analysis and prediction of energy consumption trends. Results of experiments conducted using the actual data from electricity meters confirm applicability of the ISPC framework.read more
Citations
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Journal ArticleDOI
A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems
Thomas Strasser,Filip Andren,Johannes Kathan,Carlo Cecati,Concettina Buccella,Pierluigi Siano,Paulo Leitão,Gulnara Zhabelova,Valeriy Vyatkin,Pavel Vrba,Vladimir Marik +10 more
TL;DR: An overview of the state of the art and recent developments enabling higher intelligence in future smart grids is provided and the integration of renewable sources and storage systems into the power grids is analyzed.
Journal ArticleDOI
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey
Damminda Alahakoon,Xinghuo Yu +1 more
TL;DR: A comprehensive survey of smart electricity meters and their utilization is presented focusing on key aspects of the metering process, different stakeholder interests, and the technologies used to satisfy stakeholder interest.
Proceedings ArticleDOI
Occupancy Detection from Electricity Consumption Data
TL;DR: This paper investigates the suitability of digital electricity meters -- already available in millions of households worldwide -- to be used as occupancy sensors and shows that using common classification methods it is possible to achieve occupancy detection accuracies of more than 80%.
Journal ArticleDOI
Revealing Household Characteristics from Smart Meter Data
TL;DR: A system that uses supervised machine learning techniques to automatically estimate specific “characteristics” of a household from its electricity consumption, which paves the way for targeted energy efficiency programs and other services that benefit from improved customer insights is developed.
Journal ArticleDOI
Business Intelligence for Enterprise Systems: A Survey
Lian Duan,Li Da Xu +1 more
TL;DR: This paper points out the challenges and opportunities to smoothly connect industrial informatics to enterprise systems for BI research and plays a very important role to bridge the connection between enterprise systems andindustrial informatics.
References
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