Daylight Prediction

Daylight Prediction is an academic construct that refers to a computational method or model designed to estimate the availability and distribution of natural light within built environments over time, distinguishing it from related daylight evaluation techniques by its focus on forecasting illumination levels based on geometric, material, climatic, and temporal inputs.

98

Publications

5.6K

Citations

239

Authors

114

Institutions

Publications per year

2017–2026

26

Authors

239

  1. JM
    John Mardaljevic

    Loughborough University, United Kingdom

    5 publications · 480 citations

    5

    h-index

  2. PT
    P.R. Tregenza

    University of Sheffield, United Kingdom

    3 publications · 254 citations

    3

    h-index

  3. PL
    Paul Littlefair

    Building Research Establishment, United Kingdom

    3 publications · 139 citations

    3

    h-index

  4. DH
    Danny H.W. Li

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 125 citations

    3

    h-index

  5. TM
    Tariq Muneer

    Edinburgh Napier University, United Kingdom

    3 publications · 105 citations

    3

    h-index

1–5 of 239

Venues

  1. Lighting Research & Technology

    19 publications · 849 citations

    15

    h-index

  2. Building and Environment

    13 publications · 595 citations

    12

    h-index

  3. Energy and Buildings

    8 publications · 1.2K citations

    8

    h-index

  4. Solar Energy

    6 publications · 314 citations

    6

    h-index

  5. Renewable Energy

    4 publications · 129 citations

    4

    h-index

1–5