Machine learning in additive manufacturing: State-of-the-art and perspectives

C Wang, XP Tan, SB Tor, CS Lim - Additive Manufacturing, 2020 - Elsevier
Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

From demand response to integrated demand response: Review and prospect of research and application

W Huang, N Zhang, C Kang, M Li… - Protection and Control of …, 2019 - ieeexplore.ieee.org
In the traditional power system demand response, customers respond to electricity price or
incentive and change their original power consumption pattern accordingly to gain …

Household energy consumption segmentation using hourly data

J Kwac, J Flora, R Rajagopal - IEEE Transactions on Smart …, 2014 - ieeexplore.ieee.org
The increasing US deployment of residential advanced metering infrastructure (AMI) has
made hourly energy consumption data widely available. Using CA smart meter data, we …

Overview and performance assessment of the clustering methods for electrical load pattern grou**

G Chicco - Energy, 2012 - Elsevier
In the current structure of the electricity business, distribution and supply services have been
unbundled in many jurisdictions. As a consequence of unbundling, electricity supply to …

Data science for building energy management: A review

M Molina-Solana, M Ros, MD Ruiz… - … and Sustainable Energy …, 2017 - Elsevier
The energy consumption of residential and commercial buildings has risen steadily in recent
years, an increase largely due to their HVAC systems. Expected energy loads …

Non-technical losses: A systematic contemporary article review

F de Souza Savian, JCM Siluk, TB Garlet… - … and Sustainable Energy …, 2021 - Elsevier
Non-technical losses refer to all electricity consumption not billed and represent a significant
problem that has consequences to all sectors and a substantial negative impact on some …

Recent advances in the analysis of residential electricity consumption and applications of smart meter data

B Yildiz, JI Bilbao, J Dore, AB Sproul - Applied Energy, 2017 - Elsevier
The emergence of smart grid technologies and applications has meant there is increasing
interest in utilising smart meters. Smart meter penetration has significantly increased over …

A comparative study of clustering techniques for electrical load pattern segmentation

A Rajabi, M Eskandari, MJ Ghadi, L Li, J Zhang… - … and Sustainable Energy …, 2020 - Elsevier
Smart meters have been widely deployed in power networks since the last decade. This
trend has resulted in an enormous volume of data being collected from the electricity …

Load profiling and its application to demand response: A review

Y Wang, Q Chen, C Kang, M Zhang… - Tsinghua Science …, 2015 - ieeexplore.ieee.org
The smart grid has been revolutionizing electrical generation and consumption through a
two-way flow of power and information. As an important information source from the demand …

Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review

C Fan, F **ao, Z Li, J Wang - Energy and Buildings, 2018 - Elsevier
Building operations account for the largest proportion of energy use throughout the building
life cycle. The energy saving potential is considerable taking into account the existence of a …