Non-intrusive load monitoring: A review

PA Schirmer, I Mporas - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …

Smart contract design in distributed energy systems: A systematic review

K Honari, S Rouhani, NE Falak, Y Liu, Y Li, H Liang… - Energies, 2023 - mdpi.com
Blockchain technology and, in particular, smart contracts based on it, offers a new,
decentralized mechanism for entering into and fulfilling contracts in diverse markets. Energy …

Preserving privacy of smart meter data in a smart grid environment

MB Gough, SF Santos, T AlSkaif… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The use of data from residential smart meters can help in the management and control of
distribution grids. This provides significant benefits to electricity retailers as well as …

[HTML][HTML] Data sharing in energy systems

J Wang, F Gao, Y Zhou, Q Guo, CW Tan, J Song… - Advances in Applied …, 2023 - Elsevier
Big data has been advocated as a dominant driving force to unleash the great waves of the
next-generation industrial revolution. While the ever-increasing proliferation of …

A data-model fusion dispatch strategy for the building energy flexibility based on the digital twin

Y Song, M Xia, Q Chen, F Chen - Applied Energy, 2023 - Elsevier
With the growing percentage of the intermittent renewable power generation, the energy
system is under increasing pressure in balancing the supply and the demand. As a major …

Graph deep-learning-based retail dynamic pricing for demand response

J Ruan, G Liang, J Zhao, S Lei, B He… - … on Smart Grid, 2023 - ieeexplore.ieee.org
Designing customized dynamic pricing is a promising way to incent consumers to adjust
their daily energy consumption behaviors. It helps manage flexible demand response …

Privacy-preserving distributed optimal power flow with partially homomorphic encryption

T Wu, C Zhao, YJA Zhang - IEEE Transactions on Smart Grid, 2021 - ieeexplore.ieee.org
Distribution grid agents are obliged to exchange and disclose their states explicitly to
neighboring regions to enable distributed optimal power flow dispatch. However, the states …

Distributed optimization for integrated energy systems with secure multiparty computation

F Si, N Zhang, Y Wang, PY Kong… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With increasing distributed energy resource integration, future power and energy systems
will be more decentralized using advanced Internet of Things (IoT) technologies. Integrated …

DPWGAN: high-quality load profiles synthesis with differential privacy guarantees

J Huang, Q Huang, G Mou, C Wu - IEEE Transactions on Smart …, 2022 - ieeexplore.ieee.org
Smart meters have collected massive amounts of fine-grained load data from users,
enabling various load profile analyses that can help improve the efficiency of smart grids …

[HTML][HTML] DP2-NILM: A distributed and privacy-preserving framework for non-intrusive load monitoring

S Dai, F Meng, Q Wang, X Chen - Renewable and Sustainable Energy …, 2024 - Elsevier
Non-intrusive load monitoring (NILM), which usually utilizes machine learning methods and
is effective in disaggregating smart meter readings from the household level into appliance …