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Related papers: Energy Optimization for HVAC Systems in Multi-VAV …

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Modern buildings encompass complex dynamics of multiple electrical, mechanical, and control systems. One of the biggest hurdles in applying conventional model-based optimization and control methods to building energy management is the huge…

Optimization and Control · Mathematics 2017-11-08 Yize Chen , Yuanyuan Shi , Baosen Zhang

With the current high levels of energy consumption of data centers, reducing power consumption by even a small percentage is beneficial. We propose a framework for thermal-aware workload distribution in a data center to reduce cooling power…

Systems and Control · Electrical Eng. & Systems 2023-04-11 Somayye Rostami , Douglas G. Down , George Karakostas

Next-generation wireless systems, already widely deployed, are expected to become even more prevalent in the future, representing challenges in both environmental and economic terms. This paper focuses on improving the energy efficiency of…

Networking and Internet Architecture · Computer Science 2024-10-21 Matteo Bordin , Andrea Lacava , Michele Polese , Sai Satish , Manoj AnanthaSwamy Nittoor , Rajarajan Sivaraj , Francesca Cuomo , Tommaso Melodia

Advanced control strategies like Model Predictive Control (MPC) offer significant energy savings for HVAC systems but often require substantial engineering effort, limiting scalability. Reinforcement Learning (RL) promises greater…

Systems and Control · Electrical Eng. & Systems 2025-10-03 Ozan Baris Mulayim , Elias N. Pergantis , Levi D. Reyes Premer , Bingqing Chen , Guannan Qu , Kevin J. Kircher , Mario Bergés

This paper presents a capacity-constrained incentive-based demand response approach for residential smart grids. It aims to maintain electricity grid capacity limits and prevent congestion by financially incentivising end users to reduce or…

Machine Learning · Computer Science 2026-02-19 Shafagh Abband Pashaki , Sepehr Maleki , Amir Badiee

Nowadays, improving the energy efficiency of high-performance computing (HPC) systems is one of the main drivers in scientific and technological research. As large-scale HPC systems require some fault-tolerant method, the opportunities to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-15 Marina Moran , Javier Balladini , Dolores Rexachs , Enzo Rucci

The smart control informed by IoT sensors and enabled by remotely controlled devices can optimize the building operation to minimize unnecessary energy consumption and improve indoor thermal comfort. This paper quantifies the potential for…

Signal Processing · Electrical Eng. & Systems 2022-05-23 Yujiao Chen , Rongxin Yin

In building management, usually static thermal setpoints are used to maintain the inside temperature of a building at a comfortable level irrespective of its occupancy. This strategy can cause a massive amount of energy wastage and…

Machine Learning · Computer Science 2022-01-20 Rakshitha Godahewa , Chang Deng , Arnaud Prouzeau , Christoph Bergmeir

Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the future power system, and to help the customers transition from a…

Occupant behavior (OB) and in particular window openings need to be considered in building performance simulation (BPS), in order to realistically model the indoor climate and energy consumption for heating ventilation and air conditioning…

Machine Learning · Computer Science 2018-09-21 Romana Markovic , Eva Grintal , Daniel Wölki , Jérôme Frisch , Christoph van Treeck

Over the last two decades, research and development efforts have shown that advanced control of heating, ventilation, and air conditioning (HVAC) equipment in commercial buildings can improve energy efficiency, reduce emissions, and turn…

Systems and Control · Electrical Eng. & Systems 2024-11-12 Gregor P. Henze , Kevin J. Kircher , James E. Braun

Efficient robot control often requires balancing task performance with energy expenditure. A common approach in reinforcement learning (RL) is to penalize energy use directly as part of the reward function. This requires carefully tuning…

Robotics · Computer Science 2025-09-03 Skand Peri , Akhil Perincherry , Bikram Pandit , Stefan Lee

Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply. Due to the coupling of multiple energy sources and the uncertainty of renewable…

Systems and Control · Electrical Eng. & Systems 2022-02-14 Dafeng Zhu , Bo Yang , Yuxiang Liu , Zhaojian Wang , Kai Ma , Xinping Guan

The industrial drying process consumes approximately 12% of the total energy used in manufacturing, with the potential for a 40% reduction in energy usage through improved process controls and the development of new drying technologies. To…

Systems and Control · Electrical Eng. & Systems 2023-04-06 Alisina Bayati , Amber Srivastava , Amir Malvandi , Hao Feng , Srinivasa Salapaka

The energy consumption of computer and communication systems does not scale linearly with the workload. A system uses a significant amount of energy even when idle or lightly loaded. A widely reported solution to resource management in…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-13 Ashkan Paya , Dan C. Marinescu

Datacenters (DCs) are deployed in a large scale to support the ever increasing demand for data processing to support various applications. The energy consumption of DCs becomes a critical issue. Powering DCs with renewable energy can…

Networking and Internet Architecture · Computer Science 2015-08-28 Liang Zhang , Tao Han , Nirwan Ansari

Residential buildings account for a significant portion (35\%) of the total electricity consumption in the U.S. as of 2022. As more distributed energy resources are installed in buildings, their potential to provide flexibility to the grid…

Machine Learning · Computer Science 2024-08-13 Patrick Salter , Qiuhua Huang , Paulo Cesar Tabares-Velasco

This study explores the interaction between aggregators and building occupants in activating flexibility through Demand Response (DR) programs, with a focus on reinforcing the resilience of the energy system considering the uncertainties…

Systems and Control · Electrical Eng. & Systems 2025-01-13 Costas Mylonas , Donata Boric , Leila Luttenberger Maric , Alexandros Tsitsanis , Eleftheria Petrianou , Magda Foti

Air conditioning systems are responsible for the major percentage of energy consumption in buildings. Shared spaces constitute considerable office space area, in which most office employees perform their meetings and daily tasks, and…

Systems and Control · Computer Science 2016-10-26 Wayes Tushar , Wang Tao , Lan Lan , Yunjian Xu , Chathura Withanage , Chau Yuen , Kristin L. Wood

The heating, ventilation and air-conditioning (HVAC) system dominates building's energy consumption and meanwhile exhibits substantial operational flexibility that can be exploited for providing grid services. However, the goal is largely…

Systems and Control · Electrical Eng. & Systems 2025-12-29 Qi Zhu , Yu Yang , Liang Yu , Qing-Shan Jia , Costas J. Spanos , Xiaohong Guan