Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network

Energy and Buildings

Volumn 70, Issue , 2014, Pages 81-93

  Paudel, Subodh ^a,b,c   Elmtiri, Mohamed ^b   Kling, Wil L ^c   Corre, Olivier Le ^a   Lacarrière, Bruno ^a  

^a ECOLE DES MINES DE NANTES   (France)

^b Veolia Environnement Recherche et Innovation   (France)

^c EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Artificial neural network; Building energy prediction; Occupancy profile; Operational heating characteristics; Orthogonal arrays; Short term building energy forecasting

Indexed keywords

BUILDING ENERGY; ENERGY SERVICES COMPANIES; INSTITUTION BUILDING; OCCUPANCY PROFILE; OPERATIONAL HEATING CHARACTERISTICS; OPERATIONAL POWER; ORTHOGONAL ARRAY; ORTHOGONAL ARRAY DESIGNS;

BUILDINGS; DYNAMIC MODELS; ENERGY UTILIZATION; FORECASTING; NEURAL NETWORKS;

HEATING;

EID: 84890844523     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2013.11.051     Document Type: Article

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