Big data analytics for intelligent manufacturing systems: A review
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …
amount of data from manufacturing systems has been increasing rapidly. With massive …
Review on deep learning applications in frequency analysis and control of modern power system
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …
regional power grids in wide area and large scale have led the modern power system to …
[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
Artificial intelligence techniques in smart grid: A survey
OA Omitaomu, H Niu - Smart Cities, 2021 - mdpi.com
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …
type data about the electric power grid operations, by integrating advanced metering …
Reinforcement learning for selective key applications in power systems: Recent advances and future challenges
With large-scale integration of renewable generation and distributed energy resources,
modern power systems are confronted with new operational challenges, such as growing …
modern power systems are confronted with new operational challenges, such as growing …
Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …
enhance the way generation, transmission, and distribution networks interrelate. It involves …
Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions
Smart grid is the new trend for clean, sustainable, efficient and reliable energy generation,
delivery and use. To ensure stable and secure operation is essential for the smart grid …
delivery and use. To ensure stable and secure operation is essential for the smart grid …
Power system frequency control: An updated review of current solutions and new challenges
Frequency control of power grids has become a relevant research topic due to the
increasing penetration of renewable energy sources, changing system structure, and the …
increasing penetration of renewable energy sources, changing system structure, and the …
Augmenting physical models with deep networks for complex dynamics forecasting
Forecasting complex dynamical phenomena in settings where only partial knowledge of
their dynamics is available is a prevalent problem across various scientific fields. While …
their dynamics is available is a prevalent problem across various scientific fields. While …
面向新型电力系统的频率安全研究综述与展望.
韩泽雷, 鞠平, 秦川, 孙大雁… - Electric Power …, 2023 - search.ebscohost.com
随着电力系统低碳化转型的进程加速, 我国电网正向着以“高比例新能源”
和“高比例电力电子设备” 为特征的新型电力系统转型. 新能源出力的波动和电力电子设备的大 …
和“高比例电力电子设备” 为特征的新型电力系统转型. 新能源出力的波动和电力电子设备的大 …