Big Data in the construction industry: A review of present status, opportunities, and future trends

M Bilal, LO Oyedele, J Qadir, K Munir, SO Ajayi… - Advanced engineering …, 2016 - Elsevier
The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …

Big data analytics in smart grids: a review

Y Zhang, T Huang, EF Bompard - Energy informatics, 2018 - Springer
Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …

Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey

A Zoha, A Gluhak, MA Imran, S Rajasegarar - Sensors, 2012 - mdpi.com
Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing
them to obtain appliance-specific energy consumption statistics that can further be used to …

Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review

S Dash, NC Sahoo - Electric Power Systems Research, 2022 - Elsevier
Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …

Is disaggregation the holy grail of energy efficiency? The case of electricity

KC Armel, A Gupta, G Shrimali, A Albert - Energy policy, 2013 - Elsevier
This paper aims to address two timely energy problems. First, significant low-cost energy
reductions can be made in the residential and commercial sectors, but these savings have …

Nonintrusive appliance load monitoring: Review and outlook

M Zeifman, K Roth - IEEE transactions on Consumer …, 2011 - ieeexplore.ieee.org
Consumer systems for home energy management can provide significant energy saving.
Such systems may be based on nonintrusive appliance load monitoring (NIALM), in which …

Energy disaggregation via discriminative sparse coding

J Kolter, S Batra, A Ng - Advances in neural information …, 2010 - proceedings.neurips.cc
Energy disaggregation is the task of taking a whole-home energy signal and separating it
into its component appliances. Studies have shown that having device-level energy …

Comprehensive feature selection for appliance classification in NILM

N Sadeghianpourhamami, J Ruyssinck… - Energy and …, 2017 - Elsevier
Since the inception of non-intrusive appliance load monitoring (NILM), extensive research
has focused on identifying an effective set of features that allows to form a unique appliance …

Loced: Location-aware energy disaggregation framework

ASN Uttama Nambi, A Reyes Lua… - Proceedings of the 2nd …, 2015 - dl.acm.org
Providing detailed appliance level energy consumption information may lead consumers to
understand their usage behavior and encourage them to optimize the energy usage. Non …

Home electrical signal disaggregation for non-intrusive load monitoring (NILM) systems

M Figueiredo, A De Almeida, B Ribeiro - Neurocomputing, 2012 - Elsevier
Electrical load disaggregation for end-use recognition in the smart home has become an
area of study of its own right. The most well-known examples are energy monitoring, health …