[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
S Barja-Martinez, M Aragüés-Peñalba… - … and Sustainable Energy …, 2021 - Elsevier
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …
systems by extracting value from the data generated by the deployed metering and sensing …
Differential privacy techniques for cyber physical systems: A survey
MU Hassan, MH Rehmani… - … Communications Surveys & …, 2019 - ieeexplore.ieee.org
Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …
development of information and communication technologies (ICT). With the provision of …
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 …
because it can deeply excavate the internal electricity consumption data of customers and …
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 …
has led to growing electric power needs through the increased number of electrical …
Changes in energy consumption according to building use type under COVID-19 pandemic in South Korea
An unprecedented global lockdown has been implemented for controlling the spread of
COVID-19 in many countries. These actions are reducing the number of coronics, but with …
COVID-19 in many countries. These actions are reducing the number of coronics, but with …
NILM techniques for intelligent home energy management and ambient assisted living: A review
The ongoing deployment of smart meters and different commercial devices has made
electricity disaggregation feasible in buildings and households, based on a single measure …
electricity disaggregation feasible in buildings and households, based on a single measure …
Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions
Energy management systems are designed to monitor, optimize, and control the smart grid
energy market. Demand-side management, considered as an essential part of the energy …
energy market. Demand-side management, considered as an essential part of the energy …
A comprehensive review on deep learning approaches for short-term load forecasting
Y Eren, İ Küçükdemiral - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
The balance between supplied and demanded power is a crucial issue in the economic
dispatching of electricity energy. With the emergence of renewable sources and data-driven …
dispatching of electricity energy. With the emergence of renewable sources and data-driven …
Review of low voltage load forecasting: Methods, applications, and recommendations
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
A practical solution for non-intrusive type II load monitoring based on deep learning and post-processing
This paper presents a practical and effective non-intrusive load monitoring (NILM) solution to
estimate the energy consumption for common multi-functional home appliances (type II …
estimate the energy consumption for common multi-functional home appliances (type II …