Consumer Segmentation and Knowledge Extraction from Smart Meter and Survey Data

Green Product Consumers Segmentation Using Self-Organizing Maps in Iran

This study aims to segment the market based on demographical, psychological, and behavioral variables, and seeks to investigate their relationship with green consumer behavior. In this research, self-organizing maps are used to segment and to determine the features of green consumer behavior. This was a survey type of research study in which eight variables were selected from the demographical,...

Architecture and Data Flow Model for Consumer-Oriented Smart Meter Design

3 Conclusion 1.Smart metering projects are at risk of consumer rejection, and investment failure. 2.We have identified ways to reduce consumer’s privacy and choice concerns about data that is extracted and transmitted from a smart meter. 3.We have proposed a Smart Metering System Architecture and abstract data flow model that identifies security and privacy requirements to ensure consumer secur...

Household Segmentation by Load Shape and Daily Consumption

Œe widespread global deployment of smart meters o‚ers a unique opportunity for utilities to understand the energy use lifestyles and needs of their consumers. It also presents a new challenge: mining these massive datasets and translating €ne-grained consumption data into meaningful insights for purposes of eciency and interpretability. In this paper, we focus on the segmentation of consumer l...

Fault-Tolerant Privacy-Preserving Statistics

Real-time statistics on smart meter consumption data must preserve consumer privacy and tolerate smart meter failures. Existing protocols for this private distributed aggregation model suffer from various drawbacks that disqualify them for application in the smart energy grid. Either they are not fault-tolerant or if they are, then they require bidirectional communication or their accuracy decr...

Smart meter data: balancing consumer privacy concerns with legitimate applications