Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings

Jia, Chenxi; Zhang, Long; Zhang, Chuanjin; Li, Yutan

doi:10.1016/j.aej.2022.08.007

Alexandria Engineering Journal

2023

DOI: 10.1016/j.aej.2022.08.007

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Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings

Chenxi Jia¹,

Long Zhang²,

Chuanjin Zhang³

et al.

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2024

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Cited by 2 publications

References 22 publications

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Forecasting building plug load electricity consumption employing occupant-building interaction input features and bidirectional LSTM with improved swarm intelligent algorithms

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Energy

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Forecasting building plug load electricity consumption employing occupant-building interaction input features and bidirectional LSTM with improved swarm intelligent algorithms

Zhang,

Ma,

Luo

et al. 2024

Energy

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A hybrid attention‐based long short‐term memory fast model for thermal regulation of smart residential buildings

Safari,

Kharrati,

Rahimi

2024

IET Smart Cities

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An attention‐based long short‐term memory (ALSTM)‐fast model predictive control (MPC) thermal regulation system for buildings is presented. The proposed system is developed to address the challenges associated with traditional heating, ventilation, and cooling (HVAC) control systems, often designed with fixed setpoints and static control strategies, leading to poor performance and suboptimal energy efficiency. The ALSTM‐Fast MPC system, on the other hand, performs the integration of deep learning and optimisation algorithms to predict the thermal behaviour of buildings and optimise the HVAC system control for thermal comfort and energy efficiency. The ALSTM‐Fast MPC system was implemented and evaluated on a real‐world data collected from a building automation system. Additionally, extensive experiments were conducted to analyse the system's performance. The results demonstrated the system's adaptability to changing thermal dynamics and occupancy patterns and its ability to achieve robust and efficient thermal regulation. As a result, a solution for optimising HVAC control in buildings is provided by the proposed ALSTM‐Fast MPC system.

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Intelligent decision optimization for energy control of direct current power distribution system with multi-port access for intelligent buildings

Cited by 2 publications

References 22 publications

Forecasting building plug load electricity consumption employing occupant-building interaction input features and bidirectional LSTM with improved swarm intelligent algorithms

Forecasting building plug load electricity consumption employing occupant-building interaction input features and bidirectional LSTM with improved swarm intelligent algorithms

A hybrid attention‐based long short‐term memory fast model for thermal regulation of smart residential buildings

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