Comparison of prediction models for determining energy demand in the residential sector of a country
作者： Aner Martinez Soto , Mark F. Jentsch
DOI: 10.1016/J.ENBUILD.2016.06.063
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摘要: Abstract The increasing need for energy conservation has led to the development of a range models assessing demand in residential sector country. Even though such deliver principal solution forecasting and impact future saving measures, collecting required baseline data is fraught with difficulties as complete lack data, missing within dataset coherence between different datasets terms detail, collection method, assumptions sample size. This paper analyses transferability accuracy twelve (MAED-2, FfE-Gebaudemodell, CDEM, REM, CREEM, ECCABS, REEPS, BREHOMES, LEAP, DECM, CHM, BSM), taking Germany case study example. Furthermore, sensitivity analysis conducted each model analyze significance input variables overall modelling outcome, highlighting most influential variables. It shown that high level disaggregation do not necessarily guarantee more accurate results. Adjustments are proposed improve country Germany.
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