Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions

BP Bhattarai, S Paudyal, Y Luo, M Mohanpurkar… - IET Smart …, 2019 - Wiley Online Library
Big data has potential to unlock novel groundbreaking opportunities in power grid that
enhances a multitude of technical, social, and economic gains. As power grid technologies …

Integrated assessment of urban overheating impacts on human life

N Nazarian, ES Krayenhoff, B Bechtel… - Earth's …, 2022 - Wiley Online Library
Urban overheating, driven by global climate change and urban development, is a major
contemporary challenge that substantially impacts urban livability and sustainability …

Non-intrusive residential electricity load decomposition via low-resource model transferring

L Lin, J Shi, C Ma, S Zuo, J Zhang, C Chen… - Journal of Building …, 2023 - Elsevier
Non-intrusive load decomposition (NILD) technology has a broad application prospect
because it can deeply excavate the internal electricity consumption data of customers and …

Big data meet green challenges: Big data toward green applications

J Wu, S Guo, J Li, D Zeng - IEEE Systems Journal, 2016 - ieeexplore.ieee.org
Big data are widely recognized as being one of the most powerful drivers to promote
productivity, improve efficiency, and support innovation. It is highly expected to explore the …

A hierarchical framework for smart grid anomaly detection using large-scale smart meter data

R Moghaddass, J Wang - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
Real-time monitoring and control of smart grids (SGs) is critical to the enhancement of
reliability and operational efficiency of power utilities. We develop a real-time anomaly …

Power systems big data analytics: An assessment of paradigm shift barriers and prospects

H Akhavan-Hejazi, H Mohsenian-Rad - Energy Reports, 2018 - Elsevier
Electric power systems are taking drastic advances in deployment of information and
communication technologies; numerous new measurement devices are installed in forms of …

Active electric distribution network: applications, challenges, and opportunities

KHM Azmi, NAM Radzi, NA Azhar, FS Samidi… - Ieee …, 2022 - ieeexplore.ieee.org
Traditional electrical power grids are transitioning from centralised operation with
unidirectional energy and information flows (from the generation domain to customers) to …

Time-series classification methods: Review and applications to power systems data

GA Susto, A Cenedese, M Terzi - Big data application in power systems, 2018 - Elsevier
Chapter Overview The diffusion in power systems of distributed renewable energy
resources, electric vehicles, and controllable loads has made advanced monitoring systems …

State of the art in big data applications in microgrid: A review

K Moharm - Advanced Engineering Informatics, 2019 - Elsevier
The prospering Big data era is emerging in the power grid. Multiple world-wide studies are
emphasizing the big data applications in the microgrid due to the huge amount of produced …

Paving the way for advanced distribution management systems applications: Making the most of models and data

A Dubey, A Bose, M Liu… - IEEE Power and Energy …, 2020 - ieeexplore.ieee.org
The development and deployment of advanced distribution management systems (ADMSs)
is imperative to address the increasingly complex operational challenges faced by aging …