Llanos Mora López

Orcid: 0000-0001-6110-8726

According to our database1, Llanos Mora López authored at least 16 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A novel clustering based method for characterizing household electricity consumption profiles.
Eng. Appl. Artif. Intell., 2024

2022
Data driven tools to assess the location of photovoltaic facilities in urban areas.
Expert Syst. Appl., 2022

2021
Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation.
Expert Syst. Appl., 2021

2015
An adaptive algorithm for clustering cumulative probability distribution functions using the Kolmogorov-Smirnov two-sample test.
Expert Syst. Appl., 2015

2014
Modelling the distribution of solar spectral irradiance using data mining techniques.
Environ. Model. Softw., 2014

Modeling Daily Profiles of Solar Global Radiation Using Statistical and Data Mining Techniques.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013
Data mining and statistical techniques for characterizing the performance of thin-film photovoltaic modules.
Expert Syst. Appl., 2013

2011
Binding Statistical and Machine Learning Models for Short-Term Forecasting of Global Solar Radiation.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010
Comparing distributions with bootstrap techniques: An application to global solar radiation.
Math. Comput. Simul., 2010

Binding Machine Learning Models and OPC Technology for Evaluating Solar Energy Systems.
Proceedings of the Trends in Applied Intelligent Systems, 2010

An Intelligent Memory Model for Short-Term Prediction: An Application to Global Solar Radiation Data.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2006
Inductive learning models with missing values.
Math. Comput. Model., 2006

A framework for the development of monitoring systems software.
Proceedings of the ICSOFT 2006, 2006

2005
Modeling time series of climatic parameters with probabilistic finite automata.
Environ. Model. Softw., 2005

Busy Beaver Function in LOOP.
Bull. EATCS, 2005

2000
Dynamic Discretization of Continuous Values from Time Series.
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000


  Loading...