Interval Data Analysis

Interval Data Analysis is a methodological framework within energy metering that systematically examines time-stamped energy consumption measurements collected at regular intervals to identify patterns, trends, and anomalies in energy usage.

479

Publications

26.8K

Citations

1.1K

Authors

594

Institutions

Publications per year

2017–2026

107

Authors

1.1K

  1. RM
    Renata M.C.R. de Souza

    Universidade Federal de Pernambuco, Brazil

    11 publications · 687 citations

    11

    h-index

  2. GJ
    G.R. Jahanshahloo

    Islamic Azad University, Science and Research Branch, Iran

    10 publications · 1.1K citations

    10

    h-index

  3. FD
    Francisco de A.T. de Carvalho

    Universidade Federal de Pernambuco, Brazil

    7 publications · 1.2K citations

    7

    h-index

  4. RM
    Roberto Montemanni

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    7 publications · 605 citations

    7

    h-index

  5. PB
    Paula Brito

    Universidade do Porto, Portugal

    7 publications · 372 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. European Journal of Operational Research

    10 publications · 1K citations

    10

    h-index

  2. Applied Mathematics and Computation

    9 publications · 828 citations

    9

    h-index

  3. Information Sciences

    9 publications · 339 citations

    9

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 8 publications · 680 citations

    8

    h-index

  5. Pattern Recognition Letters

    8 publications · 871 citations

    8

    h-index

1–5