Deep learning methods and applications for electrical power systems: A comprehensive review
AK Ozcanli, F Yaprakdal… - International Journal of …, 2020 - Wiley Online Library
Over the past decades, electric power systems (EPSs) have undergone an evolution from an
ordinary bulk structure to intelligent flexible systems by way of advanced electronics and …
ordinary bulk structure to intelligent flexible systems by way of advanced electronics and …
Toward intelligent industrial informatics: A review of current developments and future directions of artificial intelligence in industrial applications
Research, the universal pursuit of new knowledge, is embarking on a fresh journey into
artificial intelligence (AI). ature reports that AI arose nine places to the fourth-most popular …
artificial intelligence (AI). ature reports that AI arose nine places to the fourth-most popular …
Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
G Hafeez, KS Alimgeer, I Khan - Applied Energy, 2020 - Elsevier
Accurate electric load forecasting is important due to its application in the decision making
and operation of the power grid. However, the electric load profile is a complex signal due to …
and operation of the power grid. However, the electric load profile is a complex signal due to …
On the resilience of DAG-based distributed ledgers in IoT applications
Distributed ledgers have been proposed for a number of applications in the Internet-of-
Things domain where it is essential to have an immutable and irreversible record of …
Things domain where it is essential to have an immutable and irreversible record of …
Intrusion detection for smart home security based on data augmentation with edge computing
Smart home is an indispensable part of Internet of Things (IoT) owing to the prompt
development and application of smart devices. However, the data collected from smart …
development and application of smart devices. However, the data collected from smart …
Computationally efficient modeling of DC-DC converters for PV applications
In this work, a computationally efficient approach for the simulation of a DC-DC converter
connected to a photovoltaic device is proposed. The methodology is based on a …
connected to a photovoltaic device is proposed. The methodology is based on a …
Vehicles joint UAVs to acquire and analyze data for topology discovery in large-scale IoT systems
Billions of sensing devices have been connected to the Internet of Things (IoT), generating a
large volume of data that can be turned into valuable insights for many applications …
large volume of data that can be turned into valuable insights for many applications …
深度学习在泛在电力物联网中的应用与挑战.
谢小瑜， 周俊煌， 张勇军 - Electric Power Automation …, 2020 - search.ebscohost.com
泛在电力物联网是智能电网发展的高级应用形态, 对电网的数据处理能力和计算能力提出了更高
的要求. 近年来, 深度学习技术取得了突破性的进展, 为泛在电力物联网的实现与发展提供了强大 …
的要求. 近年来, 深度学习技术取得了突破性的进展, 为泛在电力物联网的实现与发展提供了强大 …
Lightweight sustainable intelligent load forecasting platform for smart grid applications
With the global electricity demand witnessing a 3.1 percent jump in 2017, there is an
increasing need for incorporating intermittent renewable energy sources and other …
increasing need for incorporating intermittent renewable energy sources and other …
An edge-computing paradigm for internet of things over power line communication networks
Power line communication (PLC) technology has created a niche use in the Internet of
Things (IoT) by offering flexible and reliable connection among power-driven IoT …
Things (IoT) by offering flexible and reliable connection among power-driven IoT …