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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
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
From Rule Based Expert System to High-Performance Data Analysis for Reduction of Non-Technical Losses on Power Grids
(IARIA, 2017)
The Non-Technical Losses represent the non-billed energy due to faults or illegal manipulations in customer facilities. The objective of the Midas project is the detection of Non-Technical Losses through the application ...
Artículo
Distributed Charging Prioritization Methodology Based on Evolutionary Computation and Virtual Power Plants to Integrate Electric Vehicle Fleets on Smart Grids
(MDPI, 2019)
Electric vehicle fleets and smart grids are two growing technologies. These technologies have provided new possibilities to reduce pollution and increase energy efficiency. In this sense, electric vehicles are used as ...
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
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 ...
Artículo
Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection
(Elsevier, 2014)
Currently, power distribution companies have several problems that are related to energy losses. For example, the energy used might not be billed due to illegal manipulation or a breakdown in the customer’s measurement ...