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Mostrando ítems 1-10 de 12
Artículo
Insertion calorimetric flowmeter for liquids with multiple temperature sensors to improve measurement by redundancy
(Elsevier, 2015)
In this paper a thermal flowmeter based on the calorimetric principle is reported and analytically modeled. The flow is measured without using any kind of laminar or bypass elements and it has been tested for laminar, ...
Artículo
A Decision Support System for consumption optimization in a naphtha reforming plant
(Elsevier, 2012)
In a naphtha distillation process, the natural objective is to perform an entire process maximization of the production rate while meeting required product qualities by searching for an optimal operating condition by ...
Artículo
A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems
(Molecular Diversity Preservation International (MDPI), 2016)
In the last few decades, the Smart Grid paradigm presence has increased within power systems. These new kinds of networks demand new Operations and Planning approaches, following improvements in the quality of service. In ...
Artículo
Development of an energy management system for a naphtha reforming plant: A data mining approach
(Elsevier, 2013)
Despite the industrial sector accounts for about a quarter of total final consumption worldwide and great efforts have been carried out to reduce its energy use in the last decades, there are still substantial oppor ...
Artículo
Intelligent Integrated Management for Telecommunication Networks
(CIS: Convergence Information Society, 2010)
As the size of communication networks keeps on growing, faster connections, cooperating technologies and the divergence of equipment and data communications, the management of the resulting networks gets additional important ...
Artículo
Integrated expert system applied to the analysis of nontechnical losses in power utilities
(Elsevier, 2011)
The detection of non-technical losses (NTLs), in most papers, commonly deals with the utilization of the registered consumption for each customer; besides, some researchers used the economic activity, the active/reactive ...
Artículo
Rule-based system to detect energy efficiency anomalies in smart buildings, a data mining approach
(Elsevier, 2016)
The rapidly growing world energy use already has concerns over the exhaustion of energy resources andheavy environmental impacts. As a result of these concerns, a trend of green and smart cities has beenincreasing. To ...
Artículo
Decision system based on neural networks to optimize the energy efficiency of a petrochemical plant
(Elsevier, 2012)
The energy efficiency of industrial plants is an important issue in any type of business but particularly in the chemical industry. Not only is it important in order to reduce costs, but also it is necessary even more as ...
Artículo
Artificial neural networks and physical modeling for determination of baseline consumption of CHP plants
(Elsevier, 2014)
An effective modeling technique is proposed for determining baseline energy consumption in the industry. A CHP plant is considered in the study that was subjected to a retrofit, which consisted of the implementation of ...
Artículo
Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees
(Elsevier, 2012)
For the electrical sector, minimizing non-technical losses is a very important task because it has a high impact in the company profits. Thus, this paper describes some new advances for the detection of non-technical ...