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In office spaces, the ratio of energy consumption of air conditioning and lighting for maintaining the environment comfort is about 70%. On the other hand, many people claim being dissatisfied with the temperature of the air conditioning.…

Signal Processing · Electrical Eng. & Systems 2020-03-11 Guillaume Lopez , Takuya Aoki , Kizito Nkurikiyeyezu , Anna Yokokubo

Demand response has been implemented by distribution system operators to reduce peak demand and mitigate contingency issues on distribution lines and substations. Specifically, the campus based commercial buildings make the major…

Optimization and Control · Mathematics 2018-12-21 Zheming Liang , Desong Bian , Xiaohu Zhang , Di Shi , Ruisheng Diao , Zhiwei Wang

The electricity grid is crucial to our lives. House- holds and institutions count on it. In recent years, the sources of energy have become less and less available and they are driving the price of electricity higher and higher. It has been…

Systems and Control · Computer Science 2016-06-28 Nacer Khalil , Driss Benhaddou , Abdelhak Bensaoula , Michael Burriello , Raymond E Cline

Buildings and data centers (DCs) are energy-intensive sectors, playing a critical role to achieve the low-carbon and sustainable energy transition targets. To this end, integrated energy system (IES) that incorporates diverse renewables,…

Systems and Control · Electrical Eng. & Systems 2026-04-17 Zhenyu Pu , Yu Yang , Liang Yu , Xiaohong Guan

This research is concerned with the novel application and investigation of `Soft Actor Critic' (SAC) based Deep Reinforcement Learning (DRL) to control the cooling setpoint (and hence cooling loads) of a large commercial building to harness…

Machine Learning · Computer Science 2021-07-08 Anjukan Kathirgamanathan , Eleni Mangina , Donal P. Finn

This paper proposes energy-efficient coordinated beamforming strategies for multi-cell multi-user multiple-input single-output system. We consider a practical power consumption model, where part of the consumed power depends on the base…

Information Theory · Computer Science 2017-10-03 Oskari Tervo , Antti Tölli , Markku Juntti , Le-Nam Tran

Increasing global energy demand and renewable integration complexity have placed buildings at the center of sustainable energy management. We present a three-step reinforcement learning(RL)-based Building Energy Management System (BEMS)…

Machine Learning · Computer Science 2025-06-23 Theo Zangato , Aomar Osmani , Pegah Alizadeh

Rapid growth and proliferation of cloud computing services around the world has increased the necessity and significance of improving the energy efficiency of could implementations. Virtual machines (VM) comprise the backend of most, if not…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-12 Sina Esfandiarpoor , Ali Pahlavan , Maziar Goudarzi

Ensuring optimal Indoor Environmental Quality (IEQ) is vital for occupant health and productivity, yet it often comes at a high energy cost in conventional Heating, Ventilation, and Air Conditioning (HVAC) systems. This paper proposes a…

Machine Learning · Computer Science 2025-10-01 Youssef Sabiri , Walid Houmaidi , Aaya Bougrine , Salmane El Mansour Billah

Commercial refrigeration systems consume 7% of the total commercial energy consumption in the United States. Improving their energy efficiency contributes to the sustainability of global energy systems and the supermarket business sector.…

Systems and Control · Computer Science 2017-04-04 Insoon Yang

This study focuses on the energy optimization of industrial robotic cells, which is essential for sustainable production in the long term. A holistic approach that considers a robotic cell as a whole toward minimizing energy consumption is…

Robotics · Computer Science 2018-02-19 Libor Bukata , Přemysl Šůcha , Zdeněk Hanzálek , Pavel Burget

Reinforcement learning (RL) techniques have been increasingly investigated for dynamic HVAC control in buildings. However, most studies focus on exploring solutions in online or off-policy scenarios without discussing in detail the…

Machine Learning · Computer Science 2024-08-16 Jun Wang , Linyan Li , Qi Liu , Yu Yang

Model predictive control (MPC) is a widely used technique for temperature set-point tracking and energy optimization of Heating Ventilation and Air Conditioning (HVAC) systems in buildings. Unfortunately, a nonlinear thermal building model…

Systems and Control · Computer Science 2019-06-04 Mohammad Ostadijafari , Anamika Dubey

Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the U.S., and similar numbers are being reported from countries around the world. This significant amount of energy is…

This paper studies a scalable control method for multi-zone heating, ventilation and air-conditioning (HVAC) systems to optimize the energy cost for maintaining thermal comfort and indoor air quality (IAQ) (represented by CO2)…

Systems and Control · Electrical Eng. & Systems 2021-01-05 Yu Yang , Seshadhri Srinivasan , Guoqiang Hu , Costas J. Spanos

An autonomous adaptive MPC architecture is presented for control of heating, ventilation and air condition (HVAC) systems to maintain indoor temperature while reducing energy use. Although equipment use and occupant changes with time,…

Systems and Control · Electrical Eng. & Systems 2021-02-09 Tingting Zeng , Prabir Barooah

Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand. Moreover, the cooling needed to keep the servers within reliable…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-19 Patricia Arroba , José L. Risco-Martín , José M. Moya , José L. Ayala

Saving energy is an important issue for cloud providers to reduce energy cost in a data center. With the increasing popularity of cloud computing, it is time to examine various energy reduction methods for which energy consumption could be…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-21 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Heating, ventilation, and air conditioning (HVAC) systems are well proved to be capable to provide operating reserve for power systems. As a type of large-capacity and energy-efficient HVAC system (up to 100 MW), district cooling system…

Systems and Control · Electrical Eng. & Systems 2021-12-22 Peipei Yu , Hongxun Hui , Hongcai Zhang , Ge Chen , Yonghua Song

New HPC machines are getting close to the exascale. Power consumption for those machines has been increasing, and researchers are studying ways to reduce it. A second trend is HPC machines' growing complexity, with increasing heterogeneous…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-24 Marco D'Amico , Julita Corbalan
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