Results 71 to 80 of about 12,104 (222)
Power System and Substation Automation
, 2012 Automation is ?the application of machines to tasks once performed by human beings, or increasingly, to tasks that would otherwise be impossible?, Encyclopaedia Britannica [1]. The term automation itself was coined in the 1940s at the Ford Motor Company.
openaire +2 more sources
Learning models of plant behavior for anomaly detection and condition monitoring [PDF]
, 2007 Providing engineers and asset managers with a too] which can diagnose faults within transformers can greatly assist decision making on such issues as maintenance, performance and safety. However, the onus has always been on personnel to accurately decide
Brown, A.J. +5 more
core +2 more sources
RAGLRO: Retrieval‐Augmented Generation With Large Language Models for Robotic Operations
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 385-395, April 2026.ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifically designed for power switchgear operation tasks.
Wenrui Wang +6 more
wiley +1 more source
A Review of the Methods Used to Model Traffic Flow in a Substation Communication Network
IEEE Access, 2020 A significant component in electrical power systems are substations, in which the substation communication network is essential. Due to the evolving nature of communication protocols, and the introduction of the IEC 61 850 standard, substation ...
Matthew Liam De Klerk, Akshay Kumar Saha
doaj +1 more source
Electrical Impact Of Photovoltaic Plant In Distributed Network [PDF]
, 2009 This paper presents the problem of power penetration of photovoltaic (PV) systems in urban networks. After a qualitative problem description, two different environments for PV systems have been analyzed: rural and urban networks.
Canova, Aldo +3 more
core +1 more source
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 564-577, April 2026.ABSTRACT Object detection of unmanned firefighting vehicles faces challenges such as strong electromagnetic interference, drastic lighting changes and dynamic object variations. To address these issues, we propose a two‐stage 3D point cloud object detection algorithm called TED‐CasA‐Fusion.
Jiangdong Wu +5 more
wiley +1 more source
Evolving Optical Networks for Latency-Sensitive Smart-Grid Communications via Optical Time Slice Switching (OTSS) Technologies [PDF]
, 2017 In this paper, we proposed a novel OTSS-assisted optical network architecture for smart-grid communication networks, which has unique requirements for low-latency connections.
Hua, Nan +5 more
core +2 more sources
Energy Internet, Volume 3, Issue 1, Page 5-22, April 2026.ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source
Embedded intelligence for electrical network operation and control [PDF]
, 2011 Integrating multiple types of intelligent, mulitagent data analysis within a smart grid can pave the way for flexible, extensible, and robust solutions to power network ...
Catterson, Victoria +2 more
core +1 more source
Energy Internet, Volume 3, Issue 1, Page 39-51, April 2026.ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi +5 more
wiley +1 more source