Smart meter driven segmentation: What your consumption says about you

A Albert, R Rajagopal - IEEE Transactions on power systems, 2013 - ieeexplore.ieee.org
With the rollout of smart metering infrastructure at scale, demand-response (DR) programs
may now be tailored based on users' consumption patterns as mined from sensed data. For …

Analyzing household charging patterns of Plug-in electric vehicles (PEVs): A data mining approach

A Verma, A Asadi, K Yang, A Maitra… - Computers & Industrial …, 2019 - Elsevier
Plug-in electric vehicles (PEVs) have now become ubiquitous. Due to its high-power
consumption, the utility industry has strong motivation to provide this extra demand on off …

A data-driven approach to identify households with plug-in electrical vehicles (PEVs)

A Verma, A Asadi, K Yang, S Tyagi - Applied energy, 2015 - Elsevier
In recent years popularity of plug-in electric (PEV) vehicles has grown significantly. Charging
of such vehicles is typically done at home from a standard outlet or at corporate car locations …

Cost-of-service segmentation of energy consumers

A Albert, R Rajagopal - IEEE Transactions on Power Systems, 2014 - ieeexplore.ieee.org
Uncertainty in consumption is a key challenge at energy utility companies, which are faced
with balancing highly stochastic demand with increasingly volatile supply characterized by …

Smart Advertising

A Asmaryan, A Levanov, I Borovik - International Journal of …, 2016 - igi-global.com
Currently, there is a problem of contextual advertising. Advertisers want to be able to target
clearly the audience, because user experience and revenue depend on the relevance of the …

An Unsupervised Cluster: Learning Water Customer Behavior Using Variation of Information on a Reconstructed Phase Space

MRB Malinowski - 2018 - search.proquest.com
The unsupervised clustering algorithm described in this dissertation addresses the need to
divide a population of water utility customers into groups based on their similarities and …

[图书][B] Problems, models, and algorithms in data-driven energy demand management

A Albert - 2014 - search.proquest.com
A compelling vision for the electricity grid of the 21 st century is that of a highly-instrumented
system that integrates distributed generation from renewable and conventional sources …

Smart Advertising

A Levanov, A Asmaryan, I Borovik - International Journal of …, 2016 - dl.acm.org
Currently, there is a problem of contextual advertising. Advertisers want to be able to target
clearly the audience, because user experience and revenue depend on the relevance of the …

[PDF][PDF] Aggregate Volatility in Complex Power Grid Networks Under Uncertain Market Conditions

A Albert - 2011 - snap.stanford.edu
The power grid is of crucial importance to the modern economy and in recent years it has
drawn also the attention of researchers in the nascent field of complex network science …

Smart Ads for Better User Targeting

A Asmaryan, A Levanov, I Borovik - Strategic Innovations and …, 2019 - igi-global.com
Currently, there is a problem of contextual advertising. Advertisers want to be able to clearly
target the audience because user experience and revenue depend on the relevance of the …