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Fumbling to find flashlights during blackouts may soon be a distant memory, as quantum computing and artificial intelligence could learn to decipher an electric grid’s problematic quirks and solve sys...
Security constrained optimal power flow via proximal message passing
Trend network equipment dynamic constraints reliability constraint fault network
2015/8/7
In this paper, we propose a distributed algorithm to solve the Security Constrained Optimal Power Flow (SC-OPF) Problem. We consider a network of devices, each with its own dynamic constraints and obj...
Low-Power Themes Classifier (LPTC): A Human-Expert-Based Approach for Classification of Scientific Papers/Theses with Low-Power Theme
Natural Language Processing (NLP) Semantic Web Term Extraction Text Categorization Resource Description Framework (RDF) Low-Power Theme
2013/1/28
Document classification is widely applied in many scientific areas and academic environments, using NLP techniques and term extraction algorithms like CValue, TfIdf, TermEx, GlossEx, Weirdness and the...
Role of Artificial Intelligence in the Reliability Evaluation of Electric Power Systems
Artificial Intelligence Reliability Evaluation Electric Power Systems
2009/7/28
Every reliability analysis effort, in some way, involves searching the state space of the system for those states that represent the events of interest, typically failure of the system or a given node...
INTEGRATED SOLID OXIDE FUEL CELL POWER SYSTEM CHARACTERISTICS PREDICTION
solid oxide fuel cell power conditioning system mathematical model
2010/1/11
The main objective of this paper is to deduce the specific characteristics of the
CHP 100kWe Solid Oxide Fuel Cell (SOFC) Power System from the steady state
experimental data. From the experimental ...
Intelligent identification of cutting states by utilising Power Spectrum Density
CNC turning Cutting force Power Spectrum Density
2010/1/19
Purpose: This paper presents an in-process monitoring and identification of cutting states in turning process in
order to realize the intelligent machine tools.
Design/methodology/approach: The deve...
Agent Based Fuzzy ARTMAP Neural Network for Classifying the Power Plant Performance
Adaptive Resonance Theory Neural Network Fuzzy Logic Control
2010/1/15
In this paper, we present a "Fuzzy ARTMAP" neural network model on a power station in Al-Daura Refinery for the multiagent
process as a classifying system to improve the process real-time performance...