Challenges for real-world applications of nonintrusive load monitoring and opportunities for machine learning approaches

L Yan, M Sheikholeslami, W Gong, W Tian, Z Li - The Electricity Journal, 2022 - Elsevier
The rapid increase of power consumption calls for efficient and effective energy usage and
conservation strategies in buildings. One of the requirements of achieving such a goal is …

A Robust Data‐Driven Method for Multiseasonality and Heteroscedasticity in Time Series Preprocessing

B Sun, L Ma, T Shen, R Geng, Y Zhou… - … and Mobile Computing, 2021 - Wiley Online Library
Internet of Things (IoT) is emerging, and 5G enables much more data transport from mobile
and wireless sources. The data to be transmitted is too much compared to link capacity …

Model-free lossless data compression for real-time low-latency transmission in smart grids

L Yan, J Han, R Xu, Z Li - IEEE Transactions on Smart Grid, 2020 - ieeexplore.ieee.org
This article proposes a model-free lossless data compression method for time series in
smart grids (SGs), namely, Lossless Coding considering Precision (LCP) method. The LCP …

An optimal energy-saving strategy for home energy management systems with bounded customer rationality

G Lin, Y Yang, F Pan, S Zhang, F Wang, S Fan - Future Internet, 2019 - mdpi.com
With the development of techniques, such as the Internet of Things (IoT) and edge
computing, home energy management systems (HEMS) have been widely implemented to …

Intelligent computing in electrical utility Industry 4.0: Concept, key technologies, applications and future directions

M Mishra, M Biswal, RC Bansal, J Nayak… - IEEE …, 2022 - ieeexplore.ieee.org
Industry 4.0 (I-4.0) is referred to as 'fourth industrial revolution'towards incorporation of
artificial intelligence and digitalization of industrial systems. It is meticulously associated with …

Decentralized transfer of contingency reserve: Framework and methodology

J Xiao, G He, S Fan, S Zhang, Q Wu, Z Li - Applied Energy, 2020 - Elsevier
The increasing penetration of renewable energy comes with decreasing system inertia and
much faster frequency drop when contingency of large power loss occurs, which seriously …

Data compression approach for the home energy management system

K Jia, G Guo, J Xiao, H Zhou, Z Wang, G He - Applied energy, 2019 - Elsevier
As a typical energy-cyber-physical system (e-CPS), home energy management system
(HEMS) plays a critical role in power systems by accommodating higher levels of renewable …

Towards sustainability using an edge-fog-cloud architecture for demand-side management

AFS Veloso, MCL de Moura… - … on Systems, Man …, 2021 - ieeexplore.ieee.org
The environmental issues, the continuous growth in electricity demand, and the increased
penetration of renewable energy resources motivated the transformation of conventional …

Data-driven demand-side energy management approaches based on the smart energy network

F Pan, G Lin, Y Yang, S Zhang… - Journal of Algorithms …, 2019 - journals.sagepub.com
The energy shortage problem cannot be ignored in the development of economics. A
demand-side smart energy network is introduced in this paper, which integrates renewable …

Principles for the Secure Exchange of Sensitive Data Across Classified Networks: A Data-Centric Approach

P Brous, M Hiel - International Conference on Electronic Government, 2024 - Springer
The internet of things, social media and other technological developments have a created a
situation in which more and more sensitive data is being exchanged between government …