↓ Skip to main content

Soft Computing for Sustainability Science

Overview of attention for book
Cover of 'Soft Computing for Sustainability Science'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Soft Computing Techniques and Sustainability Science, an Introduction
  3. Altmetric Badge
    Chapter 2 Vessels Fuel Consumption: A Data Analytics Perspective to Sustainability
  4. Altmetric Badge
    Chapter 3 FuzzyCovering: A Spatial Decision Support System for Solving Fuzzy Covering Location Problems
  5. Altmetric Badge
    Chapter 4 A Fuzzy Location Problem Based Upon Georeferenced Data
  6. Altmetric Badge
    Chapter 5 A Review of the Application to Emergent Subfields in Viticulture of Local Reflectance and Interactance Spectroscopy Combined with Soft Computing and Multivariate Analysis
  7. Altmetric Badge
    Chapter 6 Consumer Segmentation Through Multi-instance Clustering Time-Series Energy Data from Smart Meters
  8. Altmetric Badge
    Chapter 7 A Multicriteria Group Decision Model for Ranking Technology Packages in Agriculture
  9. Altmetric Badge
    Chapter 8 Fuzzy Degree of Geographic Appropriateness for Social Impact Investing
  10. Altmetric Badge
    Chapter 9 A New Approach for Information Dissemination in VANETs Based on Covering Location and Metaheuristics
  11. Altmetric Badge
    Chapter 10 Product Matching to Determine the Energy Efficiency of Used Cars Available at Internet Marketplaces
  12. Altmetric Badge
    Chapter 11 Fault Diagnosis in a Steam Generator Applying Fuzzy Clustering Techniques
  13. Altmetric Badge
    Chapter 12 An Updated Review on Watershed Algorithms
  14. Altmetric Badge
    Chapter 13 An Application Sample of Machine Learning Tools, Such as SVM and ANN, for Data Editing and Imputation
  15. Altmetric Badge
    Chapter 14 Multimodal Transport Network Problem: Classical and Innovative Approaches
  16. Altmetric Badge
    Chapter 15 A Linguistic 2-Tuple Based Environmental Impact Assessment for Maritime Port Projects: Application to Moa Port
Attention for Chapter 6: Consumer Segmentation Through Multi-instance Clustering Time-Series Energy Data from Smart Meters
Altmetric Badge

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Consumer Segmentation Through Multi-instance Clustering Time-Series Energy Data from Smart Meters
Chapter number 6
Book title
Soft Computing for Sustainability Science
Published in
Studies in Fuzziness and Soft Computing, July 2017
DOI 10.1007/978-3-319-62359-7_6
Book ISBNs
978-3-31-962358-0, 978-3-31-962359-7
Authors

Alejandro Gómez-Boix, Leticia Arco, Ann Nowé

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 20%
Professor 1 7%
Researcher 1 7%
Student > Ph. D. Student 1 7%
Unknown 9 60%
Readers by discipline Count As %
Engineering 2 13%
Business, Management and Accounting 1 7%
Energy 1 7%
Computer Science 1 7%
Unknown 10 67%