AIMC Topic: Power Plants
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Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects.
Risk analysis : an official publication of the Society for Risk Analysis
Nov 22, 2019
Inappropriate management of health and safety (H&S) risk in power infrastructure projects can result in occupational accidents and equipment damage. Accidents at work have detrimental effects on workers, company, and the general public. Despite the a...
The Sustainable Development Assessment of Reservoir Resettlement Based on a BP Neural Network.
International journal of environmental research and public health
Jan 18, 2018
Resettlement affects not only the resettlers' production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientif...
An inexact multistage fuzzy-stochastic programming for regional electric power system management constrained by environmental quality.
Environmental science and pollution research international
Oct 9, 2017
Electric power system involves different fields and disciplines which addressed the economic system, energy system, and environment system. Inner uncertainty of this compound system would be an inevitable problem. Therefore, an inexact multistage fuz...
A neural network based computational model to predict the output power of different types of photovoltaic cells.
PloS one
Sep 12, 2017
In this article, we introduced an artificial neural network (ANN) based computational model to predict the output power of three types of photovoltaic cells, mono-crystalline (mono-), multi-crystalline (multi-), and amorphous (amor-) crystalline. The...
On Design Mining: Coevolution and Surrogate Models.
Artificial life
May 17, 2017
Design mining is the use of computational intelligence techniques to iteratively search and model the attribute space of physical objects evaluated directly through rapid prototyping to meet given objectives. It enables the exploitation of novel mate...
Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid.
Neural networks : the official journal of the International Neural Network Society
May 15, 2017
The economic emission dispatch (EED) problem aims to control generation cost and reduce the impact of waste gas on the environment. It has multiple constraints and nonconvex objectives. To solve it, the collective neurodynamic optimization (CNO) meth...
Ranking of Sites for Installation of Hydropower Plant Using MLP Neural Network Trained with GA: A MADM Approach.
Computational intelligence and neuroscience
Feb 26, 2017
Every energy system which we consider is an entity by itself, defined by parameters which are interrelated according to some physical laws. In recent year tremendous importance is given in research on site selection in an imprecise environment. In th...
CD-Based Indices for Link Prediction in Complex Network.
PloS one
Jan 11, 2016
Lots of similarity-based algorithms have been designed to deal with the problem of link prediction in the past decade. In order to improve prediction accuracy, a novel cosine similarity index CD based on distance between nodes and cosine value betwee...
Fuzzy wavelet plus a quantum neural network as a design base for power system stability enhancement.
Neural networks : the official journal of the International Neural Network Society
Aug 1, 2015
In this study, we introduce an indirect adaptive fuzzy wavelet neural controller (IAFWNC) as a power system stabilizer to damp inter-area modes of oscillations in a multi-machine power system. Quantum computing is an efficient method for improving th...
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.
IEEE transactions on neural networks and learning systems
Aug 13, 2014
This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine (ELM). Similar to the concept of ELM that employed the random initialization technique, th...
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