Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques
Scientific community is currently doing a great effort of research in the area of Smart Grids
because energy production, distribution, and consumption play a critical role in the …
because energy production, distribution, and consumption play a critical role in the …
Energy performance forecasting of residential buildings using fuzzy approaches
À Nebot, F Mugica - Applied Sciences, 2020 - mdpi.com
The energy consumption used for domestic purposes in Europe is, to a considerable extent,
due to heating and cooling. This energy is produced mostly by burning fossil fuels, which …
due to heating and cooling. This energy is produced mostly by burning fossil fuels, which …
Forest fire forecasting using fuzzy logic models
A Nebot, F Mugica - Forests, 2021 - mdpi.com
In this study, we explored hybrid fuzzy logic modelling techniques to predict the burned area
of forest fires. Fast detection is crucial for successful firefighting, and a model with an …
of forest fires. Fast detection is crucial for successful firefighting, and a model with an …
Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application
Dealing with missing data is of great practical and theoretical interest in forecasting
applications. In this study, we deal with the problem of forecasting with missing data in smart …
applications. In this study, we deal with the problem of forecasting with missing data in smart …
PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques
In this work, a fault diagnosis methodology termed VisualBlock-Fuzzy Inductive Reasoning,
ie VisualBlock-FIR, based on fuzzy and pattern recognition approaches is presented and …
ie VisualBlock-FIR, based on fuzzy and pattern recognition approaches is presented and …
Fuzzy Inductive Reasoning: a consolidated approach to data-driven construction of complex dynamical systems
À Nebot, F Mugica - International Journal of General Systems, 2012 - Taylor & Francis
Fuzzy inductive reasoning (FIR) is a modelling and simulation methodology derived from the
General Systems Problem Solver. It compares favourably with other soft computing …
General Systems Problem Solver. It compares favourably with other soft computing …
Short-term electric load forecasting using computational intelligence methods
Accurate time series forecasting is a key issue to support individual and organizational
decision making. In this paper, we introduce several methods for short-term electric load …
decision making. In this paper, we introduce several methods for short-term electric load …
On the extraction of decision support rules from fuzzy predictive models
In several application areas like banking, insurance, medicine, education, business, to name
just a few, there are huge, sometimes unstructured data collections, and there is a need to …
just a few, there are huge, sometimes unstructured data collections, and there is a need to …
Leakage localization in water networks using fuzzy logic
This paper presents a methodology for leakage localization using FIR (Fuzzy Inductive
Reasoning). A real water network situated in Barcelona has been subdivided in zones which …
Reasoning). A real water network situated in Barcelona has been subdivided in zones which …
Ozone prediction based on meteorological variables: a fuzzy inductive reasoning approach
MILAGRO project was conducted in Mexico City during March 2006 with the main objective
of study the local and global impact of pollution generated by megacities. The research …
of study the local and global impact of pollution generated by megacities. The research …