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In future energy systems with high shares of renewable energy sources, the electricity demand of buildings has to react to the fluctuating electricity generation in view of stability. As buildings consume one-third of global energy and…

Systems and Control · Electrical Eng. & Systems 2023-06-29 Moritz Frahm , Thomas Dengiz , Philipp Zwickel , Heiko Maaß , Jörg Matthes , Veit Hagenmeyer

Energy efficiency of buildings is considered to be one of the major means of achieving the net-zero carbon goal around the world. The big part of the energy savings are supposed to be coming from optimizing the operation of the building…

Systems and Control · Electrical Eng. & Systems 2024-09-19 Amir-Mohammad Esmaieeli-Sikaroudi , Boris Goikhman , Dmitri Chubarov , Hung Dinh Nguyen , Michael Chertkov , Petr Vorobev

Demand flexibility plays a vital role in maintaining grid balance, reducing peak demand, and saving customers' energy bills. Given their highly shiftable load and significant contribution to a building's energy consumption, Heating,…

Systems and Control · Electrical Eng. & Systems 2023-06-30 Ruohong Liu , Yuxin Pan , Yize Chen

The heating, ventilation and air condition (HVAC) system consumes the most energy in commercial buildings, consisting over 60% of total energy usage in the U.S. Flexible HVAC system setpoint scheduling could potentially save building energy…

Optimization and Control · Mathematics 2021-03-11 Guanyu Tian , Qun Zhou , Samy Faddel , Wenyi Wang

During the earliest phase of architectural design process, practitioners after analyzing the client's design program, legal requirements, topographic constraints, and preferences synthesize these requirements into architectural floor plan…

Neural and Evolutionary Computing · Computer Science 2014-10-06 Eugénio Rodrigues , Adélio R. Gaspar , Álvaro Gomes , Manuel Gameiro da Silva

Model predictive control (MPC) can provide significant energy cost savings in building operations in the form of energy-efficient control with better occupant comfort, lower peak demand charges, and risk-free participation in demand…

Systems and Control · Electrical Eng. & Systems 2020-05-05 Achin Jain , Francesco Smarra , Enrico Reticcioli , Alessandro D'Innocenzo , Manfred Morari

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

The increasing integration of renewable energy into the power grid has highlighted the critical importance of demand-side flexibility. Among flexible loads, heating, ventilation, and air-conditioning (HVAC) systems are particularly…

Systems and Control · Electrical Eng. & Systems 2025-08-12 Xinlei Zhou , Han Du , Emily W. Yap , Wanbin Dou , Mingyang Huang , Zhenjun Ma

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

Room-level air conditioners (also referred as ACs) consume a significant proportion of total energy in residential and small-scale commercial buildings. In a typical AC, occupants specify their comfort requirements by manually setting the…

Human-Computer Interaction · Computer Science 2018-05-17 Milan Jain

In this paper, we propose a combined energy and comfort optimization (CECO) strategy for the air conditioning (A/C) system of the connected and automated vehicles (CAVs). By leveraging the weather and traffic predictions enabled by the…

Systems and Control · Electrical Eng. & Systems 2019-09-30 Hao Wang , Mohammad Reza Amini , Ziyou Song , Jing Sun , Ilya Kolmanovsky

Recent research has shown the potential of Model-based Reinforcement Learning (MBRL) to enhance energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC) systems. However, existing methods rely on black-box thermal dynamics…

Systems and Control · Electrical Eng. & Systems 2024-03-04 Zhiyu An , Xianzhong Ding , Wan Du

In the last few years, energy efficiency has become a challenge. Not only mitigating environmental impact but reducing energy waste can lead to financial advantages. Buildings play an important role in this: they are among the biggest…

Systems and Control · Electrical Eng. & Systems 2026-01-30 B. da Costa Paulo , N. Aginako , J. Ugartemendia , I. Landa del Barrio , M. Quartulli , H. Camblong

Utilities use demand response to shift or reduce electricity usage of flexible loads, to better match electricity demand to power generation. A common mechanism is peak pricing (PP), where consumers pay reduced (increased) prices for…

Optimization and Control · Mathematics 2017-10-02 John Audie Cabrera , Yonatan Mintz , Jhoanna Rhodette Pedrasa , Anil Aswani

Grid-interactive building control is a challenging and important problem for reducing carbon emissions, increasing energy efficiency, and supporting the electric power grid. Currently researchers and practitioners are confronted with a…

Systems and Control · Electrical Eng. & Systems 2022-10-20 David Biagioni , Xiangyu Zhang , Christiane Adcock , Michael Sinner , Peter Graf , Jennifer King

Reinforcement learning (RL)-based heating, ventilation, and air conditioning (HVAC) control has emerged as a promising technology for reducing building energy consumption while maintaining indoor thermal comfort. However, the efficacy of…

Modern commercial Heating, Ventilation, and Air Conditioning (HVAC) devices form a complex and interconnected thermodynamic system with the building and outside weather conditions, and current setpoint control policies are not fully…

Artificial Intelligence · Computer Science 2023-10-13 Judah Goldfeder , John Sipple

In the past few years, several case studies have illustrated that the use of occupancy information in buildings leads to energy-efficient and low-cost HVAC operation. The widely presented techniques for occupancy estimation include…

Sound · Computer Science 2016-03-01 Qian Huang , Zhenhao Ge , Chao Lu

Energy costs are a major factor in the total cost of ownership (TCO) for high-performance computing (HPC) systems. The rise of intermittent green energy sources and reduced reliance on fossil fuels have introduced volatility into…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-02 Peter Arzt , Felix Wolf

For effective integration of building operations into the evolving demand response programs of the power grid, real-time decisions concerning the use of building appliances for grid services must excel on multiple criteria, ranging from the…

Systems and Control · Electrical Eng. & Systems 2021-03-23 Milan Jain , Soumya Kundu , Arnab Bhattacharya , Sen Huang , Vikas Chandan , Nikitha Radhakrishnan , Veronica Adetola , Draguna Vrabie