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Publication search results
found 32 matches
- 2024
- Jan M. Schaßberger, Lutz Gröll, Veit Hagenmeyer:
Control-oriented modeling of direct-heat co-current rotary dryers for energy demand flexibility. Comput. Chem. Eng. 189: 108774 (2024) - Thomas Dengiz, Max Kleinebrahm:
Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps. CoRR abs/2407.11561 (2024) - 2023
- F. Conte, Stefano Massucco, Federico Silvestro, Diego Cirio, Marco Rapizza:
Demand Response by Aggregates of Domestic Water Heaters with Adaptive Model Predictive Control. CoRR abs/2307.02218 (2023) - Fabio Pavirani, Gargya Gokhale, Bert Claessens, Chris Develder:
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks. CoRR abs/2312.03365 (2023) - 2022
- Milan Zdravkovic, Ivan Ciric, Marko Ignjatovic:
Explainable heat demand forecasting for the novel control strategies of district heating systems. Annu. Rev. Control. 53: 405-413 (2022) - Bahareh Kiamanesh, Ali Behravan, Roman Obermaisser:
Fault Injection with Multiple Fault Patterns for Experimental Evaluation of Demand-Controlled Ventilation and Heating Systems. Sensors 22(21): 8180 (2022) - Shiyu Yang, Huaizhu Oliver Gao, Fengqi You:
Model Predictive Control for Price-Based Demand-Responsive Building Control by Leveraging Active Latent Heat Storage. CDC 2022: 539-544 - 2021
- Ali Behravan:
Diagnostic classifiers based on fuzzy Bayesian belief networks and deep neural networks for demand-controlled ventilation and heating systems. University of Siegen, Germany, 2021 - Huangjie Gong, Tim Rooney, Oluwaseun M. Akeyo, Brian T. Branecky, Dan M. Ionel:
Equivalent Electric and Heat-Pump Water Heater Models for Aggregated Community-Level Demand Response Virtual Power Plant Controls. IEEE Access 9: 141233-141244 (2021) - Cristina Zotica, David Pérez-Piñeiro, Sigurd Skogestad:
Supervisory control design for balancing supply and demand in a district heating system with thermal energy storage. Comput. Chem. Eng. 149: 107306 (2021) - Learn L. Chiloane, Gerald K. Kirui, Yu-Chieh J. Yen:
Demand Reduction of Electric Water Heaters for Load-Shedding Recovery using Stochastic Control. AFRICON 2021: 1-6 - Johannes P. Maree, Sébastien Gros, Harald T. Walnum:
Adaptive control and identification for heating demand-response in buildings. ECC 2021: 1931-1936 - 2020
- Majid Moradzadeh, Morad Abdelaziz:
Optimal Demand Control of Electric Water Heaters to Accommodate the Integration of Plug-in Electric Vehicles in Residential Distribution Networks. CCECE 2020: 1-6 - Rodrigo Porteiro, Juan Pablo Chavat, Sergio Nesmachnow, Luis Hernández-Callejo:
Demand Response Control in Electric Water Heaters: Evaluation of Impact on Thermal Comfort. ICSC-Cities 2020: 74-89 - 2019
- Douglas A. Halamay, Mike Starrett, Ted K. A. Brekken:
Hardware Testing of Electric Hot Water Heaters Providing Energy Storage and Demand Response Through Model Predictive Control. IEEE Access 7: 139047-139057 (2019) - Chin-Chi Cheng, Dasheng Lee:
Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis. Sensors 19(5): 1131 (2019) - Chin-Chi Cheng, Dasheng Lee:
Artificial Intelligence Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 2. Prior Information Notice (PIN) Sensor Design and Simulation Results. Sensors 19(15): 3440 (2019) - Ali Behravan, Nadra Tabassam, Osama Al-Najjar, Roman Obermaisser:
Composability Modeling for the Use Case of Demand-controlled Ventilation and Heating System. CoDIT 2019: 1998-2003 - Thomas Dengiz, Patrick Jochem, Wolf Fichtner:
Uncertainty handling control algorithms for demand response with modulating electric heating devices. ISGT Europe 2019: 1-5 - 2018
- Tobias Lübkert, Marcus Venzke, Nhat Vinh Vo, Volker Turau:
Understanding price functions to control domestic electric water heaters for demand response. Comput. Sci. Res. Dev. 33(1-2): 81-92 (2018) - Md Tofael Ahmed, Pedro Faria, Omid Abrishambaf, Zita A. Vale:
Electric Water Heater Modelling for Direct Load Control Demand Response. INDIN 2018: 490-495 - Md Tofael Ahmed, Pedro Faria, Zita A. Vale:
Financial Benefit Analysis of an Electric Water Heater with Direct Load Control in Demand Response. SmartGridComm 2018: 1-6 - Ali Behravan, Roman Obermaisser, Deepak Hanike Basavegowda, Simon Meckel:
Automatic model-based fault detection and diagnosis using diagnostic directed acyclic graph for a demand-controlled ventilation and heating system in Simulink. SysCon 2018: 1-7 - 2017
- Edith Birrer, Cyril Picard, Patrick Huber, Daniel Bolliger, Alexander Klapproth:
Demand response optimized heat pump control for service sector buildings. Comput. Sci. Res. Dev. 32(1-2): 25-34 (2017) - Ye Xia, Rong Hu:
Fuzzy Neural Network based Energy Efficiencies Control in the Heating Energy Supply System Responding to the Changes of User Demands. J. Netw. Intell. 2(2): 186-194 (2017) - Zeyad Assi Obaid, Liana M. Cipcigan, Mazin T. Muhssin, Saif Sabah Sami:
Development of a water heater population control for the demand-side frequency control. ISGT Europe 2017: 1-6 - 2016
- Jorg Gissing, Philipp Themann, Sidney Baltzer, Thomas Lichius, Lutz Eckstein:
Optimal Control of Series Plug-In Hybrid Electric Vehicles Considering the Cabin Heat Demand. IEEE Trans. Control. Syst. Technol. 24(3): 1126-1133 (2016) - Diego I. Hidalgo Rodriguez, Jonas Hinker, Johanna M. A. Myrzik:
On the problem formulation of model predictive control for demand response of a power-to-heat home microgrid. PSCC 2016: 1-8 - 2015
- Olli Kilkki, Antti Alahäivälä, Ilkka Seilonen:
Optimized Control of Price-Based Demand Response With Electric Storage Space Heating. IEEE Trans. Ind. Informatics 11(1): 281-288 (2015) - 2014
- Gianni Bianchini, Marco Casini, Antonio Vicino, Donato Zarrilli:
Receding horizon control for demand-response operation of building heating systems. CDC 2014: 4862-4867
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