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Littérature scientifique sur le sujet « Thermostat programming »

Auteur : Grafiati

Publié le 25 juillet 2024

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Thermostat programming"

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Rodríguez de Rivera, Pedro Jesús, Miriam Rodríguez de Rivera, Fabiola Socorro, Manuel Rodríguez de Rivera, and Gustavo Marrero Callicó. "A Method to Determine Human Skin Heat Capacity Using a Non-Invasive Calorimetric Sensor." Sensors 20, no. 12 (2020): 3431. http://dx.doi.org/10.3390/s20123431.

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A calorimetric sensor has been designed to measure the heat flow dissipated by a 2 × 2 cm2 skin surface. In this work, a non-invasive method is proposed to determine the heat capacity and thermal conductance of the area of skin where the measurement is made. The method consists of programming a linear variation of the temperature of the sensor thermostat during its application to the skin. The sensor is modelled as a two-inputs and two-outputs system. The inputs are (1) the power dissipated by the skin and transmitted by conduction to the sensor, and (2) the power dissipated in the sensor ther

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Stopps, Helen, and Marianne F. Touchie. "Residential smart thermostat use: An exploration of thermostat programming, environmental attitudes, and the influence of smart controls on energy savings." Energy and Buildings 238 (May 2021): 110834. http://dx.doi.org/10.1016/j.enbuild.2021.110834.

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Gao, J.-P., G.-M. G. Zhu, E. G. Strangas, and F.-C. Sun. "Equivalent fuel consumption optimal control of a series hybrid electric vehicle." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 223, no. 8 (2009): 1003–18. http://dx.doi.org/10.1243/09544070jauto1074.

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Improvements in hybrid electric vehicle fuel economy with reduced emissions strongly depend on their supervisory control strategy. In order to develop an efficient real-time supervisory control strategy for a series hybrid electric bus, the proposed equivalent fuel consumption optimal control strategy is compared with two popular strategies, thermostat and power follower, using backward simulations in ADVISOR. For given driving cycles, global optimal solutions were also obtained using dynamic programming to provide an optimization target for comparison purposes. Comparison simulations showed t

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Chen, Chun-Chi, and Shih-Hao Lin. "A Time-Domain CMOS Oscillator-Based Thermostat with Digital Set-Point Programming." Sensors 13, no. 2 (2013): 1679–91. http://dx.doi.org/10.3390/s130201679.

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Vavrinevych, O., D. Hyrenko, T. Hyrenko, S. Omelchuk, and A. Syrota. "Improvement of analytical determination of residual quantities of active substances of the triasole class in juices." Zurnal Hromatograficnogo tovaristva 20, no. 66 (2020): 24–32. http://dx.doi.org/10.15407/zht2020.66.024.

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Today, the most common among fungicides approved for use in Ukraine, as well as in other countries, are compounds of the triazole class. Juices, as a product of processing agricultural raw materials, can be consumed by a wide range of the population. The purpose of work was to develop analytical methods for compound of triazole (difenoconazole and propiconazole) in juices to ensure quality control of agricultural products grown with the use of these fungicides. Conditions for chromatography of difenoconazole and propiconazole using gas-liquid chromatography with capillary column SH-Rxi-5ms (30

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Sahu, Kirti Sundar, Joel A. Dubin, Shannon E. Majowicz, Sam Liu, and Plinio P. Morita. "Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things–Based Thermostat Data and Google Mobility Insights." JMIR Public Health and Surveillance 10 (March 20, 2024): e46903. http://dx.doi.org/10.2196/46903.

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Background The COVID-19 pandemic necessitated public health policies to limit human mobility and curb infection spread. Human mobility, which is often underestimated, plays a pivotal role in health outcomes, impacting both infectious and chronic diseases. Collecting precise mobility data is vital for understanding human behavior and informing public health strategies. Google’s GPS-based location tracking, which is compiled in Google Mobility Reports, became the gold standard for monitoring outdoor mobility during the pandemic. However, indoor mobility remains underexplored. Objective This stud

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Davoodi, Jamal, and Samaneh Khoshkhatti. "Molecular Dynamics Simulation of Thermal Conductivity of Aluminum." Defect and Diffusion Forum 336 (March 2013): 47–55. http://dx.doi.org/10.4028/www.scientific.net/ddf.336.47.

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In this research, the thermal conductivity of aluminum (Al) in macro scale was investigated by the molecular dynamics simulation technique. We used FORTRAN programming in the simulations and used a fixed number of atoms, N, confined to a fixed pressure, P, and maintained at a constant preset temperature, T, i.e. the NPT ensemble. The Sutton-Chen many-body potential was used to calculate energy and force. The temperature and pressure of the system were controlled by Nosé-Hoover thermostat and Berendsen barostat respectively. We could solve the equations of motion using the Velocity Verlet algo

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Kamyar, Reza, and Matthew M. Peet. "Optimal Thermostat Programming for Time-of-Use and Demand Charges With Thermal Energy Storage and Optimal Pricing for Regulated Utilities." IEEE Transactions on Power Systems 32, no. 4 (2017): 2714–23. http://dx.doi.org/10.1109/tpwrs.2016.2618374.

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Riski, Sestri Novia. "SISTEM PAKAR UNTUK MENDETEKSI KESALAHAN ELEKTRODA PADA PROSES WELDING FRAME THERMOSTAT PADA SOULPLATE MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB (STUDI KASUS PT PHILIPS)." Edik Informatika 3, no. 2 (2017): 211–25. http://dx.doi.org/10.22202/ei.2017.v3i2.2248.

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The use of SMAW (Shielded Metal Arc Welding) in the industrial world is enough widely used. With this machine the human greatly helped by the need to make a metal object. So that by the frequent use of these tools, the more susceptible it is also a tool damage. Technicians machines supplied by the company are not proportional to the number of machines. Therefore, to help resolve this issue needs an expert system that can act as an assistant to the engineer. Data relating to the damage processed using forward chaining expert system. Expert systems are made using the programming language PHP and

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Bondar, Oleksiy. "Predictive Neural Network in Multipurpose Self-Tuning Controller." Acta Mechanica et Automatica 14, no. 2 (2020): 114–20. http://dx.doi.org/10.2478/ama-2020-0017.

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AbstractA very important problem in designing of controlling systems is to choose the right type of architecture of controller. And it is always a compromise between accuracy, difficulty in setting up, technical complexity and cost, expandability, flexibility and so on. In this paper, multipurpose adaptive controller with implementation of artificial neural network is offered as an answer to a wide range of tasks related to regulation. The effectiveness of the approach is demonstrated by the example of an adaptive thermostat. It also compares its capabilities with those of classic PID controll

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Livres sur le sujet "Thermostat programming"

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Programming the digital thermostat 947. www.booksengineers.com, 2023.

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Programming the digital thermostat 947. Author and engineer, 2023.

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Chapitres de livres sur le sujet "Thermostat programming"

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Antunes, Carlos Henggeler, Vahid Rasouli, Maria João Alves, Álvaro Gomes, José J. Costa, and Adélio Gaspar. "A Discussion of Mixed Integer Linear Programming Models of Thermostatic Loads in Demand Response." In Trends in Mathematics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32157-4_7.

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Singh, Arun Kumar. "Applications of the Internet of Things and Machine Learning Using Python in Digital Marketing." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8166-0.ch011.

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The internet of things (IoT) is a network of physical objects or “things” embedded with electronics, software, sensors, and network connectivity, which enables them to collect and exchange data. These objects can include everyday devices such as smart thermostats, home security systems, wearable fitness trackers, and even vehicles. However, IoT also raises concerns about privacy, security, and reliability, as the increasing number of connected devices creates new opportunities for cyber attacks and data breaches. As such, the development and deployment of IoT technology must be done in a respo

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Actes de conférences sur le sujet "Thermostat programming"

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Agarwal, Neha, and Thomas F. Wenisch. "Thermostat." In ASPLOS '17: Architectural Support for Programming Languages and Operating Systems. ACM, 2017. http://dx.doi.org/10.1145/3037697.3037706.

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Gao, Ge, and Kamin Whitehouse. "The self-programming thermostat." In the First ACM Workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1810279.1810294.

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Kamyar, Reza, and Matthew M. Peet. "Optimal thermostat programming and optimal electricity rates for customers with demand charges." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7172042.

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Mikluscak, Tomas, Andrej Kapjor, Ales Janota, and Ondrej Biros. "Exploring possibilities of predictive self-programming thermostats for energy savings." In 2012 ELEKTRO. IEEE, 2012. http://dx.doi.org/10.1109/elektro.2012.6225615.

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Chan, Korey, and Saeid Bashash. "Modeling and Energy Cost Optimization of Air Conditioning Loads in Smart Grid Environments." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5284.

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Electricity for heating, ventilation, and air condition (HVAC) machines takes up a large percentage of energy consumption in the buildings and thus in turn, a large portion of the energy monetary cost. Optimization of air conditioners use throughout the day will reduce energy consumption and expenditure. This study introduces a second-order differential equation model to capture the indoor temperature dynamics of a building. An experimental test bed is developed to collect a set of indoor/outdoor temperature and sunlight data. Using a least-squares-based system identification process, the mode

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Solouk, Ali, Mahdi Shahbakhti, and Mohammad J. Mahjoob. "Energy Management and Control of a Hybrid Electric Vehicle With an Integrated Low Temperature Combustion (LTC) Engine." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6286.

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Low Temperature Combustion (LTC) provides a promising solution for clean energy-efficient engine technology which has not yet been utilized in Hybrid Electric Vehicle (HEV) engines. In this study, a variant of LTC engines, known as Homogeneous Charge Compression Ignition (HCCI), is utilized for operation in a series HEV configuration. An experimentally validated dynamic HCCI model is used to develop required engine torque-fuel consumption data. Given the importance of Energy Management Control (EMC) on HEV fuel economy, three different types of EMCs are designed and implemented. The EMC strate

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Wang, Chenli, and Hohyun Lee. "Economical and Non-Invasive Residential Human Presence Sensing via Temperature Measurement." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88211.

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Heating, ventilation and cooling (HVAC) is the largest source of residential energy consumption in United States, encompassing about 25% of total residential energy usage. A significant portion of energy is wasted by unnecessary operation, such as overheating/overcooling or operation without occupants. Wasteful behaviors will consume twice the amount of energy compared to energy conscious behaviors. Many market programmable thermostats exist to address this problem, however, difficulties in persistent programming of such products and lack of understanding of underlying physics prevent users fr

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