Artykuły w czasopismach na temat „Optimization of HVAC energy consumption”
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Jung, Dae Kyo, Dong Hwan Lee, Joo Ho Shin, Byung Hun Song i Seung Hee Park. "Optimization of Energy Consumption Using BIM-Based Building Energy Performance Analysis". Applied Mechanics and Materials 281 (styczeń 2013): 649–52. http://dx.doi.org/10.4028/www.scientific.net/amm.281.649.
Pełny tekst źródłaKusiak, Andrew, Mingyang Li i Fan Tang. "Modeling and optimization of HVAC energy consumption". Applied Energy 87, nr 10 (październik 2010): 3092–102. http://dx.doi.org/10.1016/j.apenergy.2010.04.008.
Pełny tekst źródłaBhatt, Dhowmya, Danalakshmi D, A. Hariharasudan, Marcin Lis i Marlena Grabowska. "Forecasting of Energy Demands for Smart Home Applications". Energies 14, nr 4 (17.02.2021): 1045. http://dx.doi.org/10.3390/en14041045.
Pełny tekst źródłaSwaminathan, Siva, Ximan Wang, Bingyu Zhou i Simone Baldi. "A University Building Test Case for Occupancy-Based Building Automation". Energies 11, nr 11 (14.11.2018): 3145. http://dx.doi.org/10.3390/en11113145.
Pełny tekst źródłaLiu, Zhonghui, i Gongyi Jiang. "Optimization of intelligent heating ventilation air conditioning system in urban building based on BIM and artificial intelligence technology". Computer Science and Information Systems, nr 00 (2021): 27. http://dx.doi.org/10.2298/csis200901027l.
Pełny tekst źródłaRassadin, Yury, i Nikita Shushko. "Data Driven PMV-Comfort and Energy Consumption Control in Common Buildings". Journal of Physics: Conference Series 2701, nr 1 (1.02.2024): 012148. http://dx.doi.org/10.1088/1742-6596/2701/1/012148.
Pełny tekst źródłaLin, Chang-Ming, Hsin-Yu Liu, Ko-Ying Tseng i Sheng-Fuu Lin. "Heating, Ventilation, and Air Conditioning System Optimization Control Strategy Involving Fan Coil Unit Temperature Control". Applied Sciences 9, nr 11 (11.06.2019): 2391. http://dx.doi.org/10.3390/app9112391.
Pełny tekst źródłaCorten, Kai, Eric Willems, Shalika Walker i Wim Zeiler. "Energy performance optimization of buildings using data mining techniques". E3S Web of Conferences 111 (2019): 05016. http://dx.doi.org/10.1051/e3sconf/201911105016.
Pełny tekst źródłaBazenkov, N., i I. Petrov. "Detailed Analysis of Energy Consumption for an Office Building". Journal of Physics: Conference Series 2701, nr 1 (1.02.2024): 012145. http://dx.doi.org/10.1088/1742-6596/2701/1/012145.
Pełny tekst źródłaWisdom Ebirim, Kehinde Andrew Olu-lawal, Nwakamma Ninduwezuor-Ehiobu, Danny Jose Portillo Montero, Favour Oluwadamilare Usman i Emmanuel Chigozie Ani. "LEVERAGING PROJECT MANAGEMENT TOOLS FOR ENERGY EFFICIENCY IN HVAC OPERATIONS: A PATH TO CLIMATE RESILIENCE". Engineering Science & Technology Journal 5, nr 3 (10.03.2024): 653–61. http://dx.doi.org/10.51594/estj.v5i3.863.
Pełny tekst źródłaFeng, Yayuan, Youxian Huang, Haifeng Shang, Junwei Lou, Ala deen Knefaty, Jian Yao i Rongyue Zheng. "Prediction of Hourly Air-Conditioning Energy Consumption in Office Buildings Based on Gaussian Process Regression". Energies 15, nr 13 (24.06.2022): 4626. http://dx.doi.org/10.3390/en15134626.
Pełny tekst źródłaLin, Yao Lin, Wei Yang i Ming Sheng Liu. "Energy Efficiency Measures for a High-Tech Building with a Solar Roof". Advanced Materials Research 1073-1076 (grudzień 2014): 1233–38. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.1233.
Pełny tekst źródłaTalib, Rand, i Nabil Nassif. "“Demand Control” an Innovative Way of Reducing the HVAC System’s Energy Consumption". Buildings 11, nr 10 (18.10.2021): 488. http://dx.doi.org/10.3390/buildings11100488.
Pełny tekst źródłaXue, Guiyuan, Chen Wu, Wenjuan Niu, Xun Dou, Shizhen Wang i Yadie Fu. "Flexible Control Strategy for Intelligent Building Air Conditioning System". E3S Web of Conferences 252 (2021): 01039. http://dx.doi.org/10.1051/e3sconf/202125201039.
Pełny tekst źródłaMei, Guanghang, Bin Hu, Zhenjie Liu, Zhikun Zhu i Wenjun Huang. "Energy-saving optimization of refrigeration system in a data centre based on Nelder-Mead method". ITM Web of Conferences 47 (2022): 03017. http://dx.doi.org/10.1051/itmconf/20224703017.
Pełny tekst źródłaLin, Xingbin, Deyu Yuan i Xifei Li. "Reinforcement Learning with Dual Safety Policies for Energy Savings in Building Energy Systems". Buildings 13, nr 3 (21.02.2023): 580. http://dx.doi.org/10.3390/buildings13030580.
Pełny tekst źródłaMckoy, DeQuante Rashon, Raymond Charles Tesiero, Yaa Takyiwaa Acquaah i Balakrishna Gokaraju. "Review of HVAC Systems History and Future Applications". Energies 16, nr 17 (22.08.2023): 6109. http://dx.doi.org/10.3390/en16176109.
Pełny tekst źródłaAswad Mohammed, Subhi, Osama Ali Awad i Abdulkareem Merhej Radhi. "Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm". Indonesian Journal of Electrical Engineering and Computer Science 20, nr 3 (1.12.2020): 1613. http://dx.doi.org/10.11591/ijeecs.v20.i3.pp1613-1625.
Pełny tekst źródłaIgnjatović, Marko G., Bratislav D. Blagojević, Mirko M. Stojiljković, Aleksandar S. Anđelković, Milena B. Blagojević i Dejan M. Mitrović. "Energy performance of air conditioned buildings based on short-term weather forecast". E3S Web of Conferences 111 (2019): 04045. http://dx.doi.org/10.1051/e3sconf/201911104045.
Pełny tekst źródłaImal, Muharrem. "Design and Implementation of Energy Efficiency in HVAC Systems Based on Robust PID Control for Industrial Applications". Journal of Sensors 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/954159.
Pełny tekst źródłaLiang, Xiaodan, i Dan Wang. "Research on Key Technologies for Green Transformation of Existing Residential Buildings in Dense Urban Areas". E3S Web of Conferences 512 (2024): 01017. http://dx.doi.org/10.1051/e3sconf/202451201017.
Pełny tekst źródłaSamadi, Nasim, i Mahdi Shahbakhti. "Energy Efficiency and Optimization Strategies in a Building to Minimize Airborne Infection Risks". Energies 16, nr 13 (26.06.2023): 4960. http://dx.doi.org/10.3390/en16134960.
Pełny tekst źródłaKim, Nam-Kyu, Myung-Hyun Shim i Dongjun Won. "Building Energy Management Strategy Using an HVAC System and Energy Storage System". Energies 11, nr 10 (10.10.2018): 2690. http://dx.doi.org/10.3390/en11102690.
Pełny tekst źródłaKampelis, Nikolaos, Nikolaos Sifakis, Dionysia Kolokotsa, Konstantinos Gobakis, Konstantinos Kalaitzakis, Daniela Isidori i Cristina Cristalli. "HVAC Optimization Genetic Algorithm for Industrial Near-Zero-Energy Building Demand Response". Energies 12, nr 11 (7.06.2019): 2177. http://dx.doi.org/10.3390/en12112177.
Pełny tekst źródłaMetsä-Eerola, Iivo, Jukka Pulkkinen, Olli Niemitalo i Olli Koskela. "On Hourly Forecasting Heating Energy Consumption of HVAC with Recurrent Neural Networks". Energies 15, nr 14 (12.07.2022): 5084. http://dx.doi.org/10.3390/en15145084.
Pełny tekst źródłaNie, Zelin, Feng Gao i Chao-Bo Yan. "A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency". Energies 14, nr 2 (12.01.2021): 400. http://dx.doi.org/10.3390/en14020400.
Pełny tekst źródłaDivyesh, VR, Chinmay Sahu, Velswamy Kirubakaran, TK Radhakrishnan i Muralidharan Guruprasath. "Energy optimization using metaheuristic bat algorithm assisted controller tuning for industrial and residential applications". Transactions of the Institute of Measurement and Control 40, nr 7 (3.05.2017): 2310–21. http://dx.doi.org/10.1177/0142331217701538.
Pełny tekst źródłaKelvin Wijaya, Timotius, Sholahudin, M. Idrus Alhamid, Kiyoshi Saito i N. Nasruddin. "Dynamic optimization of chilled water pump operation to reduce HVAC energy consumption". Thermal Science and Engineering Progress 36 (grudzień 2022): 101512. http://dx.doi.org/10.1016/j.tsep.2022.101512.
Pełny tekst źródłaKurniawan, Andre, Nanang Qosim, Remon Lapisa, Zainal Abadi i Jasman Jasman. "The Optimization of Building Energy Consumption in Universitas Negeri Padang Using Building Energy Simulation Program". Teknomekanik 4, nr 1 (27.05.2021): 30–35. http://dx.doi.org/10.24036/teknomekanik.v4i1.9672.
Pełny tekst źródłaEs-Sakali, Niima, Samir Idrissi Kaitouni, Imad Ait Laasri, Mohamed Oualid Mghazli, Moha Cherkaoui i Jens Pfafferott. "Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints". E3S Web of Conferences 396 (2023): 03032. http://dx.doi.org/10.1051/e3sconf/202339603032.
Pełny tekst źródłaHuong, Nguyen Lan, Nguyen Viet Anh, Dang Thi Thanh Huyen, Tran Hoai Son i Dinh Viet Cuong. "Optimization to water supply system design and operation scheme in high rise buildings". Journal of Science and Technology in Civil Engineering (STCE) - NUCE 12, nr 3 (30.04.2018): 123–31. http://dx.doi.org/10.31814/stce.nuce2018-12(3)-12.
Pełny tekst źródłaKim, Dongsu, Jongman Lee, Sunglok Do, Pedro J. Mago, Kwang Ho Lee i Heejin Cho. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends". Energies 15, nr 19 (1.10.2022): 7231. http://dx.doi.org/10.3390/en15197231.
Pełny tekst źródłaWandy, Yose, Marcus Vogt, Rushit Kansara, Clemens Felsmann i Christoph Herrmann. "Sensor-Based Machine Learning Approach for Indoor Air Quality Monitoring in an Automobile Manufacturing". Energies 14, nr 21 (3.11.2021): 7271. http://dx.doi.org/10.3390/en14217271.
Pełny tekst źródłaToub, Mohamed, Chethan R. Reddy, Rush D. Robinett i Mahdi Shahbakhti. "Integration and Optimal Control of MicroCSP with Building HVAC Systems: Review and Future Directions". Energies 14, nr 3 (30.01.2021): 730. http://dx.doi.org/10.3390/en14030730.
Pełny tekst źródłaKönig, Adrian, Sebastian Mayer, Lorenzo Nicoletti, Stephan Tumphart i Markus Lienkamp. "The Impact of HVAC on the Development of Autonomous and Electric Vehicle Concepts". Energies 15, nr 2 (9.01.2022): 441. http://dx.doi.org/10.3390/en15020441.
Pełny tekst źródłaShort, Michael, Sergio Rodriguez, Richard Charlesworth, Tracey Crosbie i Nashwan Dawood. "Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach". Energies 12, nr 22 (13.11.2019): 4320. http://dx.doi.org/10.3390/en12224320.
Pełny tekst źródłaYang, Xinyu, Ying Ji, Jiefan Gu i Menghan Niu. "An Electricity Consumption Disaggregation Method for HVAC Terminal Units in Sub-Metered Buildings Based on CART Algorithm". Buildings 13, nr 4 (6.04.2023): 967. http://dx.doi.org/10.3390/buildings13040967.
Pełny tekst źródłaMoayedi, Hossein, i Amir Mosavi. "Double-Target Based Neural Networks in Predicting Energy Consumption in Residential Buildings". Energies 14, nr 5 (1.03.2021): 1331. http://dx.doi.org/10.3390/en14051331.
Pełny tekst źródłaLahlou, Anas, Florence Ossart, Emmanuel Boudard, Francis Roy i Mohamed Bakhouya. "Optimal Management of Thermal Comfort and Driving Range in Electric Vehicles". Energies 13, nr 17 (31.08.2020): 4471. http://dx.doi.org/10.3390/en13174471.
Pełny tekst źródłaTalei, Hanaa, Driss Benhaddou, Carlos Gamarra, Houda Benbrahim i Mohamed Essaaidi. "Smart Building Energy Inefficiencies Detection through Time Series Analysis and Unsupervised Machine Learning". Energies 14, nr 19 (23.09.2021): 6042. http://dx.doi.org/10.3390/en14196042.
Pełny tekst źródłaAdegbenro, Akinkunmi, Michael Short i Claudio Angione. "An Integrated Approach to Adaptive Control and Supervisory Optimisation of HVAC Control Systems for Demand Response Applications". Energies 14, nr 8 (8.04.2021): 2078. http://dx.doi.org/10.3390/en14082078.
Pełny tekst źródłaJalal, Bareq Musaab, i Rashid Hamid Al-Rubayi. "Energy management strategy with smart building control system to reduction electrical load using ANN". Bulletin of Electrical Engineering and Informatics 11, nr 6 (1.12.2022): 3188–200. http://dx.doi.org/10.11591/eei.v11i6.4087.
Pełny tekst źródłaAndrés, Eva, Manuel Pegalajar Cuéllar i Gabriel Navarro. "On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios". Energies 15, nr 16 (19.08.2022): 6034. http://dx.doi.org/10.3390/en15166034.
Pełny tekst źródłaQin, Haosen, Zhen Yu, Tailu Li, Xueliang Liu i Li Li. "Heating Control Strategy Based on Dynamic Programming for Building Energy Saving and Emission Reduction". International Journal of Environmental Research and Public Health 19, nr 21 (29.10.2022): 14137. http://dx.doi.org/10.3390/ijerph192114137.
Pełny tekst źródłaSi, Qiang, Yougang Peng, Qiuli Jin, Yuan Li i Hao Cai. "Multi-Objective Optimization Research on the Integration of Renewable Energy HVAC Systems Based on TRNSYS". Buildings 13, nr 12 (8.12.2023): 3057. http://dx.doi.org/10.3390/buildings13123057.
Pełny tekst źródłaWrana, Jan, Wojciech Struzik, Katarzyna Jaromin-Gleń i Piotr Gleń. "FCH HVAC Honeycomb Ring Network—Transition from Traditional Power Supply Systems in Existing and Revitalized Areas". Energies 16, nr 24 (8.12.2023): 7965. http://dx.doi.org/10.3390/en16247965.
Pełny tekst źródłaCvok, Ivan, Igor Ratković i Joško Deur. "Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range". Energies 14, nr 4 (23.02.2021): 1203. http://dx.doi.org/10.3390/en14041203.
Pełny tekst źródłaSegala, Giacomo, Roberto Doriguzzi-Corin, Claudio Peroni, Matteo Gerola i Domenico Siracusa. "EECO: An AI-Based Algorithm for Energy-Efficient Comfort Optimisation". Energies 16, nr 21 (29.10.2023): 7334. http://dx.doi.org/10.3390/en16217334.
Pełny tekst źródłaSierla, Seppo, Heikki Ihasalo i Valeriy Vyatkin. "A Review of Reinforcement Learning Applications to Control of Heating, Ventilation and Air Conditioning Systems". Energies 15, nr 10 (11.05.2022): 3526. http://dx.doi.org/10.3390/en15103526.
Pełny tekst źródłaBorodinecs, Anatolijs, Jurgis Zemitis i Arturs Palcikovskis. "HVAC System Control Solutions Based on Modern IT Technologies: A Review Article". Energies 15, nr 18 (14.09.2022): 6726. http://dx.doi.org/10.3390/en15186726.
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