Comparison of machine learning methods for estimating energy consumption in buildings

2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Conference Proceedings

Volumn , Issue , 2014, Pages

  Mocanu, Elena ^a   Nguyen, Phuong H ^a   Gibescu, Madeleine ^a   Kling, Wil L ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Artificial Neural Networks; Conditional Restricted Boltzmann Machines; Energy prediction; Hidden Markov Models; Stochastic method

Indexed keywords

AUTOMATION; BALANCING; COOLING SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC POWER UTILIZATION; ENERGY CONSERVATION; FORECASTING; HIDDEN MARKOV MODELS; INTELLIGENT BUILDINGS; MACHINE LEARNING; NEURAL NETWORKS; OFFICE BUILDINGS; RENEWABLE ENERGY RESOURCES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BUILDING AUTOMATION SYSTEMS; CONDITIONAL RESTRICTED BOLTZMANN MACHINES; ENERGY PREDICTION; HEATING AND COOLING SYSTEMS; HIDDEN MARKOV MODELS (HMMS); MACHINE LEARNING METHODS; STOCHASTIC METHODS; TOTAL ENERGY CONSUMPTION;

ENERGY UTILIZATION;

EID: 84915748417     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PMAPS.2014.6960635     Document Type: Conference Paper

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