Intelligent forecasting of residential heating demand for the District Heating System based on the monthly overall natural gas consumption
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- @Article{Izadyar:2015:EB,
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author = "Nima Izadyar and Hwai Chyuan Ong and
Shahaboddin Shamshirband and Hossein Ghadamian and Chong Wen Tong",
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title = "Intelligent forecasting of residential heating demand
for the District Heating System based on the monthly
overall natural gas consumption",
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journal = "Energy and Buildings",
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volume = "104",
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pages = "208--214",
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year = "2015",
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ISSN = "0378-7788",
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DOI = "doi:10.1016/j.enbuild.2015.07.006",
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URL = "http://www.sciencedirect.com/science/article/pii/S0378778815301225",
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abstract = "In this study, the residential heating demand of a
case study (Baharestan town, Karaj) in Iran was
forecasted based on the monthly natural gas consumption
data and monthly average of the ambient temperature.
Three various methods containing Extreme Learning
Machine (ELM), artificial neural networks (ANNs) and
genetic programming (GP) were employed to forecast
residential heating demand of the case study and the
results of these methods were compared after validating
via real data. Actually, the main goal of the current
study is to obtain the most accurate technique among
these 3 common methods in this context. Validation of
the forecasting results reveals that the important
progress can be achieved in terms of accuracy by the
ELM method in comparison with ANN and GP. Moreover,
obtained results indicate that developed ELM models can
be used with confidence for further work on formulating
novel model predictive strategy for residential heating
demand for the DHS. The outputs reveal that the new
procedure can have a suitable performance in major
cases and can be learned more rapid compare with other
common learning algorithms.",
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keywords = "genetic algorithms, genetic programming, Residential
natural gas demand, District Heating System (DHS),
Estimation, Computational models, Energy consumption",
- }
Genetic Programming entries for
Nima Izadyar
Hwai Chyuan Ong
Shahaboddin Shamshirband
Hossein Ghadamian
Chong Wen Tong
Citations