Deducing Energy Consumer Behavior from Smart Meter Data

Deducing Energy Consumer Behavior from Smart Meter Data

The ongoing upgrade of electricity meters to smart ones has opened a new market of intelligent services to analyze the recorded meter data. This paper introduces an open architecture and a unified framework for deducing user behavior from its smart main electricity meter data and presenting the results in a natural language. The framework allows a fast exploration and integration of a variety o...

Smart meter data: balancing consumer privacy concerns with legitimate applications

Consumer Segmentation and Knowledge Extraction from Smart Meter and Survey Data

Many electricity suppliers around the world are deploying smart meters to gather fine-grained spatiotemporal consumption data and to effectively manage the collective demand of their consumer base. In this paper, we introduce a structured framework and a discriminative index that can be used to segment the consumption data along multiple contextual dimensions such as locations, communities, sea...

Scalable and Personalized Energy Efficiency Services with Smart Meter Data

Information and communication technology plays an important role in addressing the world’s energy problem. Networked digital electricity meters (so-called smart meters), for instance, can provide households with real-time information on their electricity consumption and thus help them to conserve energy. Initial expectations on the saving potential of this technology were too optimistic, howeve...

Streamlining Smart Meter Data Analytics

Today smart meters are increasingly used in worldwide. Smart meters are the advanced meters capable of measuring customer energy consumption at a fine-grained time interval, e.g., every 15 minutes. The data are very sizable, and might be from different sources, along with the other social-economic metrics such as the geographic information of meters, the information about users and their proper...