Modelo de manejo de datos, con el uso de inteligencia artificial, para un sistema de información geográfica en el sector energético

Fleitas, Nayi Sánchez; Rdoríguez, Raúl Comas; Lorenzo, María Matilde García; Quesada, Amanda Riverol

doi:10.29019/enfoqueute.v7n3.108

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…La fuente de poder mostrada en la Figura 5, tiene como función principal la conversión del voltaje de 110VAC a 9VDC, esto se logró mediante la aplicación de una fuente capacitiva sin transformador con un rectificador tipo puente (Reston, 2004). Los datos iniciales para el diseño fueron: una corriente de salida de 450mA, un voltaje de salida de 9V, el voltaje de entrada que es de 110VAC y la frecuencia de 60Hz.…”

Section: Sistema Eléctricounclassified

Diseño de un Sistema Inteligente y Compacto de Iluminación

Fernandez

Mideros

2018

Enfoque UTE

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La luz es un factor ambiental muy influyente en la calidad de vida y el rendimiento de las personas. Por esta razón es necesario crear e implementar tecnologías que ayuden a mantener ambientes sanos, en términos de iluminación, para los usuarios. Si a esto sumamos la gran cantidad de energía eléctrica que se desperdicia por malos hábitos de consumo y por el uso de dispositivos anticuados e ineficientes, resulta evidente la importancia del presente trabajo, el cual propone el diseño de una lámpara compacta y versátil que reemplace fácilmente a los focos tradicionales con ventajas como un control automático para el encendido y apagado en función del movimiento registrado en la habitación, un control automático de nivel de iluminación para mantener niveles óptimos en todo momento y regulación del tono de la luz de acuerdo a la habitación y a la hora del día. Para lograr lo anteriormente mencionado se utilizó tecnología LED, un microcontrolador y sensores que junto con técnicas de control gobiernan el comportamiento de la lámpara. Se establecieron varios parámetros de funcionamiento como nivel de iluminación y tono de la luz emitida los cuales se cumplieron dentro de ciertas condiciones operativas.

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Section: Sistema Eléctricounclassified

Diseño de un Sistema Inteligente y Compacto de Iluminación

Fernandez

Mideros

2018

Enfoque UTE

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“…In the conceptualization we have the concepts, their taxonomy and relations (objects properties); the remaining components of the ontology model (data properties, instances and axioms) are not developed, because the information is already in the database that feeds the system. The ontology was carried out using the Methontology methodology and the Protégé tool [12].…”

Section: Paper Preparationmentioning

confidence: 99%

Intelligent Geographic Information System for Decision Making in the Electricity Sector

Fleitas¹,

Lorenzo²,

Rodríguez³

et al. 2018

RCS

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In the Electricity Union works on the development of a Geographic Information System (GIS) that has a conceptual basis and response to the different requests of the user. For this, the objective of the research is: to develop a model for the management of geospatial data, with the use of Artificial Intelligence techniques, as support to decision making in the electric sector. As a first step a light ontology is elaborated that endows the conceptual base system. To achieve the automatic queries a Case Based System is developed. The case database contains the description of static queries previously made in the form of cases and responds to a three-level hierarchical organization, which favors the processes of access, recovery and learning of cases. Each consultation consists of eleven fundamental features, of which eight are predictors and three objectives. This system is applied in all the electric companies of the country. The results of field validation evidence the feasibility of the proposal.

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“…Information technologies and Artificial Intelligence (AI) are key in multiple sectors [8,9], since they are based on the optimization of production systems and marketing and help in the decision-making process [10,11]. Machine Learning (ML), a branch of artificial intelligence, is a practical approach used in many fields, including agriculture, for several years [12].…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Model for Early Prediction of Crop Yield, Nested in a Web Application in the Cloud: A Case Study in an Olive Grove in Southern Spain

et al. 2022

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Predictive systems are a crucial tool in management and decision-making in any productive sector. In the case of agriculture, it is especially interesting to have advance information on the profitability of a farm. In this sense, depending on the time of the year when this information is available, important decisions can be made that affect the economic balance of the farm. The aim of this study is to develop an effective model for predicting crop yields in advance that is accessible and easy to use by the farmer or farm manager from a web-based application. In this case, an olive orchard in the Andalusia region of southern Spain was used. The model was estimated using spatio-temporal training data, such as yield data from eight consecutive years, and more than twenty meteorological parameters data, automatically charged from public web services, belonging to a weather station located near the sample farm. The workflow requires selecting the parameters that influence the crop prediction and discarding those that introduce noise into the model. The main contribution of this research is the early prediction of crop yield with absolute errors better than 20%, which is crucial for making decisions on tillage investments and crop marketing.

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Modelo de manejo de datos, con el uso de inteligencia artificial, para un sistema de información geográfica en el sector energético

Cited by 6 publications

References 5 publications

Diseño de un Sistema Inteligente y Compacto de Iluminación

Diseño de un Sistema Inteligente y Compacto de Iluminación

Intelligent Geographic Information System for Decision Making in the Electricity Sector

A Machine Learning Model for Early Prediction of Crop Yield, Nested in a Web Application in the Cloud: A Case Study in an Olive Grove in Southern Spain

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