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Artículo
Heterogeneous data source integration for smart grid ecosystems based on metadata mining
(Elsevier, 2017)
The arrival of new technologies related to smart grids and the resulting ecosystem of applications andmanagement systems pose many new problems. The databases of the traditional grid and the variousinitiatives related to ...
Artículo
Non-Technical Losses Reduction by Improving the Inspections Accuracy in a Power Utility
(IEEE Computer Society, 2018)
The Endesa Company is the main power utility in Spain. One of the main concerns of power distribution companies is energy loss, both technical and non-technical. A non-technical loss (NTL) in power utilities is defined as ...
Artículo
Non-sequential automatic classification of anuran sounds for the estimation of climate-change indicators
(Elsevier, 2018)
Several biological research studies have shown that the number of individuals of certain species of anu- rans in a specific geographical region, and the evolution of this number over time, can be used as an indicator of ...
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
Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review
(Springer, 2020)
According to the World Health Organization (WHO) report in 2016, around 800,000 of individuals have committed suicide. Moreover, suicide is the second cause of unnatural death in people between 15 and 29 years. This ...
Artículo
Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information
(MDPI, 2019)
Nowadays, the problem of parking guidance information (PGI) is one of the great challenges of smart cities. Sensor networks have been traditionally used, but they sometimes constitute a high administrative cost. For this ...
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
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
A retrospective analysis of the impact of the COVID-19 restrictions on energy consumption at a disaggregated level
(Elsevier, 2021)
Since the emergence of the virus that causes COVID-19 (the SARS-CoV-2) in Wuhan in December 2019, societies all around the world have had to change their normal life patterns due to the restrictions and lockdowns imposed by ...
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 ...