Search Results - "Aguiar, Javier M"
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A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
Published in IEEE Communications surveys and tutorials (01-01-2014)“…Recently there has been a significant proliferation in the use of forecasting techniques, mainly due to the increased availability and power of computation…”
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A Self-Adaptive Automatic Incident Detection System for Road Surveillance Based on Deep Learning
Published in Sensors (Basel, Switzerland) (12-03-2024)“…We present an automatic road incident detector characterised by a low computational complexity for easy implementation in affordable devices, automatic…”
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Classification and Clustering of Electricity Demand Patterns in Industrial Parks
Published in Energies (Basel) (01-12-2012)“…Understanding of energy consumption patterns is extremely important for optimization of resources and application of green trends. Traditionally, analyses were…”
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Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems
Published in Energies (Basel) (01-03-2014)“…The new paradigms and latest developments in the Electrical Grid are based on the introduction of distributed intelligence at several stages of its physical…”
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A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework
Published in Sensors (Basel, Switzerland) (01-09-2012)“…One of the main challenges of today’s society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the…”
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Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks
Published in Energies (Basel) (01-03-2013)“…Electricity is indispensable and of strategic importance to national economies. Consequently, electric utilities make an effort to balance power generation and…”
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A semantic autonomous video surveillance system for dense camera networks in Smart Cities
Published in Sensors (Basel, Switzerland) (01-08-2012)“…This paper presents a proposal of an intelligent video surveillance system able to detect and identify abnormal and alarming situations by analyzing object…”
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Use of extended realities in interventional cardiology: mixed reality for TAVI procedure
Published in REC, Interventional cardiology (Internet. English ed.) (01-10-2022)“…To the Editor, A novel aspect of medical imaging visualization are the so-called extended realities, a term that includes a plethora of very different…”
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An intelligent surveillance platform for large metropolitan areas with dense sensor deployment
Published in Sensors (Basel, Switzerland) (07-06-2013)“…This paper presents an intelligent surveillance platform based on the usage of large numbers of inexpensive sensors designed and developed inside the European…”
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Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment
Published in Energies (Basel) (01-09-2013)“…Short-Term Load Forecasting plays a significant role in energy generation planning, and is specially gaining momentum in the emerging Smart Grids environment,…”
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Temperature and relative humidity estimation and prediction in the tobacco drying process using Artificial Neural Networks
Published in Sensors (Basel, Switzerland) (01-10-2012)“…This paper presents a system based on an Artificial Neural Network (ANN) for estimating and predicting environmental variables related to tobacco drying…”
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Experimental Analysis of the Input Variables’ Relevance to Forecast Next Day’s Aggregated Electric Demand Using Neural Networks
Published in Energies (Basel) (01-06-2013)“…Thanks to the built in intelligence (deployment of new intelligent devices and sensors in places where historically they were not present), the Smart Grid and…”
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Artificial neural networks for short-term load forecasting in microgrids environment
Published in Energy (Oxford) (01-10-2014)“…The adaptation of energy production to demand has been traditionally very important for utilities in order to optimize resource consumption. This is especially…”
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Performance study of the application of Artificial Neural Networks to the completion and prediction of data retrieved by underwater sensors
Published in Sensors (Basel, Switzerland) (01-02-2012)“…This paper presents a proposal for an Artificial Neural Network (ANN)-based architecture for completion and prediction of data retrieved by underwater sensors…”
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Automatic UMTS system resource dimensioning based on service traffic analysis
Published in EURASIP journal on wireless communications and networking (29-10-2012)“…Mobile network operators base their TDM network capacity dimensioning on Erlang B models. This approach was valid in legacy GSM networks. However, current…”
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Underwater Wireless Communications in Freshwater at 2.4 GHz
Published in IEEE communications letters (01-09-2013)“…There are few equations for underwater communications in the related literature. They show that the speed propagation and absorption coefficient in freshwater…”
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Tool for filtering PubMed search results by sample size
Published in Journal of the American Medical Informatics Association : JAMIA (01-07-2018)“…The most used search engine for scientific literature, PubMed, provides tools to filter results by several fields. When searching for reports on clinical…”
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Moisture Content Prediction in the Switchgrass (Panicum virgatum) Drying Process Using Artificial Neural Networks
Published in Drying technology (26-10-2015)“…This article proposes two artificial neural network (ANN)-based models to characterize the switchgrass drying process: The first one models processes with…”
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Innovative DAMA algorithm for multimedia DVB-RCS system
Published in EURASIP journal on wireless communications and networking (23-01-2013)“…Satellite is often used as an access network in the Next Generation Networks landscape, where multimedia and real-time services are supported by return…”
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Improving teaching in engineering education: adjunct enterprise professors programme
Published in Journal of intelligent manufacturing (01-06-2013)“…The gap between University curricula in engineering, and profiles required by companies represents a problem that remains unsolved. The main two reasons behind…”
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