Building Simulation - v. 15, n. 3 (septembre 2021)

Publié:	septembre 2021

Auteur(s)	Titre	Page(s)
Chaturvedi, Shobhit / Rajasekar, Elangovan	Application of a probabilistic LHS-PAWN approach to assess building cooling energy demand uncertainties	373-387
Xie, Yuquan / Ishida, Yasuyuki / Hu, Jialong / Mochida, Akashi	A backpropagation neural network improved by a genetic algorithm for predicting the mean radiant temperature around buildings within the long-term period of the near future	473-492
Neto, Alberto Hernandez / Durante, Luciane Cleonice / Callejas, Ivan Júlio Apolonio / Guarda, Emeli Lalesca Aparecida da / Moreira, José Vinnicius Ranieri	The challenges on operating a zero net energy building facing global warming conditions	435-451
Tang, Rui / Fan, Cheng / Zeng, Fanzhe / Feng, Wei	Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression	317-331
Romani, Zaid / Draoui, Abdeslam / Allard, Francis	Metamodeling and multicriteria analysis for sustainable and passive residential building refurbishment: A case study of French housing stock	453-472
Guo, Xin / Buccolieri, Riccardo / Gao, Zhi / Zhang, Mingjie / Lyu, Tong / Rui, Liyan / Shen, Jialei	On the effects of urban-like intersections on ventilation and pollutant dispersion	419-433
Ding, Yan / Han, Shuxue / Tian, Zhe / Yao, Jian / Chen, Wanyue / Zhang, Qiang	Review on occupancy detection and prediction in building simulation	333-356
Koniorczyk, Marcin / Grymin, Witold / Zygmunt, Marcin / Bednarska, Dalia / Wieczorek, Alicja / Gawin, Dariusz	Stochastic energy-demand analyses with random input parameters for the single-family house	357-371
Rabeharivelo, Rova / Kavraz, Mustafa / Aygün, Cemalettin	Thermal comfort in classrooms considering a traditional wind tower in Trabzon through simulation	401-418
Tawackolian, Karsten / Kriegel, Martin	Turbulence model performance for ventilation components pressure losses	389-399

Auteur(s)

Titre

Page(s)

Chaturvedi, Shobhit / Rajasekar, Elangovan

Application of a probabilistic LHS-PAWN approach to assess building cooling energy demand uncertainties

373-387

Xie, Yuquan / Ishida, Yasuyuki / Hu, Jialong / Mochida, Akashi

A backpropagation neural network improved by a genetic algorithm for predicting the mean radiant temperature around buildings within the long-term period of the near future

473-492

Neto, Alberto Hernandez / Durante, Luciane Cleonice / Callejas, Ivan Júlio Apolonio / Guarda, Emeli Lalesca Aparecida da / Moreira, José Vinnicius Ranieri

The challenges on operating a zero net energy building facing global warming conditions

435-451

Tang, Rui / Fan, Cheng / Zeng, Fanzhe / Feng, Wei

Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression

317-331

Romani, Zaid / Draoui, Abdeslam / Allard, Francis

Metamodeling and multicriteria analysis for sustainable and passive residential building refurbishment: A case study of French housing stock

453-472

Guo, Xin / Buccolieri, Riccardo / Gao, Zhi / Zhang, Mingjie / Lyu, Tong / Rui, Liyan / Shen, Jialei

On the effects of urban-like intersections on ventilation and pollutant dispersion

419-433

Ding, Yan / Han, Shuxue / Tian, Zhe / Yao, Jian / Chen, Wanyue / Zhang, Qiang

Review on occupancy detection and prediction in building simulation

333-356

Koniorczyk, Marcin / Grymin, Witold / Zygmunt, Marcin / Bednarska, Dalia / Wieczorek, Alicja / Gawin, Dariusz

Stochastic energy-demand analyses with random input parameters for the single-family house

357-371

Rabeharivelo, Rova / Kavraz, Mustafa / Aygün, Cemalettin

Thermal comfort in classrooms considering a traditional wind tower in Trabzon through simulation

401-418

Tawackolian, Karsten / Kriegel, Martin

Turbulence model performance for ventilation components pressure losses

389-399

Publicité

Building Simulation - v. 15, n. 3 (septembre 2021)

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Building Simulation - v. 15, n. 3 (septembre 2021)

Articles dans ce numéro

Vous avez dépassé votre limite de téléchargement mensuelle ! Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois. Les utilisateurs·rices de Structurae Pro sont limités à 50.

Données obligatoires

Vous avez dépassé votre limite de téléchargement mensuelle !

Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois.
Les utilisateurs·rices de Structurae Pro sont limités à 50.