Sparsity based approaches for distribution grid state estimation-a comparative study
The power distribution grid is typically unobservable due to a lack of measurements. While
deploying more sensors can alleviate this issue, it also presents new challenges related to …
deploying more sensors can alleviate this issue, it also presents new challenges related to …
Efficient and reliable forensics using intelligent edge computing
Due to the increasing awareness and use of cloud and edge computing, society and
industries are beginning to understand the benefits they can provide. Cloud and Edge are …
industries are beginning to understand the benefits they can provide. Cloud and Edge are …
Bayesian framework for multi-timescale state estimation in low-observable distribution systems
S Dahale, B Natarajan - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
To support the smart grid paradigm, there has been a significant increase in sensor
deployments and metering infrastructure in distribution systems. However, the …
deployments and metering infrastructure in distribution systems. However, the …
A divide-and-conquer method for compression and reconstruction of smart meter data
B Liu, Y Hou, W Luan, Z Liu, S Chen, Y Yu - Applied Energy, 2023 - Elsevier
As smart grid sensors, smart meters generate abundant valuable data, laying the foundation
for data-driven applications. However, the data collection brings huge communication …
for data-driven applications. However, the data collection brings huge communication …
Enhanced tensor completion based approaches for state estimation in distribution systems
R Madbhavi, B Natarajan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Grid state estimation is essential for effective control and management of distribution
systems. While weighted least squares has been the conventional method for state …
systems. While weighted least squares has been the conventional method for state …
Integrated approach for optimal sensor placement and state estimation: A case study on water distribution networks
The objective of the design and operation of any water distribution network (WDN) includes
meeting the desired demand at sufficient pressure at all nodes. However, this requires …
meeting the desired demand at sufficient pressure at all nodes. However, this requires …
Data consistency for data-driven smart energy assessment
G Chicco - Frontiers in big Data, 2021 - frontiersin.org
In the smart grid era, the number of data available for different applications has increased
considerably. However, data could not perfectly represent the phenomenon or process …
considerably. However, data could not perfectly represent the phenomenon or process …
NeuralCompression: A machine learning approach to compress high frequency measurements in smart grid
The smart grid features frequent communication of measurements collected at consuming
and distributing nodes to other agents in the grid. While this increases grid visibility and …
and distributing nodes to other agents in the grid. While this increases grid visibility and …
Recursive gaussian process over graphs for integrating multi-timescale measurements in low-observable distribution systems
S Dahale, B Natarajan - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
The transition to a smarter grid is empowered by enhanced sensor deployments and smart
metering infrastructure in the distribution system. Measurements from these sensors and …
metering infrastructure in the distribution system. Measurements from these sensors and …
Kalman filtered compressive sensing with intermittent observations
HS Karimi, B Natarajan - Signal Processing, 2019 - Elsevier
Dynamic recursive recovery of a spatially sparse signal from compressed measurements
has received a lot of attention recently. For example, Kalman filtered compressed sensing …
has received a lot of attention recently. For example, Kalman filtered compressed sensing …