Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC …
In this paper, a comprehensive review of the artificial neural network (ANN) based model
predictive control (MPC) system design is carried out followed by a case study in which ANN …
predictive control (MPC) system design is carried out followed by a case study in which ANN …
Modeling techniques used in building HVAC control systems: A review
The appropriate application of advanced control strategies in Heating, Ventilation, and Air-
conditioning (HVAC) systems is key to improving the energy efficiency of buildings …
conditioning (HVAC) systems is key to improving the energy efficiency of buildings …
CNN-LSTM architecture for predictive indoor temperature modeling
Indoor temperature modeling is a crucial part towards efficient Heating, Ventilation and Air
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …
performance and saving energy. However, after over 20 years of research, it is yet to be …
[HTML][HTML] A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control
S Noye, RM Martinez, L Carnieletto, M De Carli… - … and Sustainable Energy …, 2022 - Elsevier
Geothermal energy has the potential to contribute significantly to the CO 2 reduction targets
as a renewable source for building heating and cooling but is yet under exploited, mostly …
as a renewable source for building heating and cooling but is yet under exploited, mostly …
Applied machine learning: Forecasting heat load in district heating system
Forecasting energy consumption in buildings is a key step towards the realization of
optimized energy production, distribution and consumption. This paper presents a data …
optimized energy production, distribution and consumption. This paper presents a data …
[HTML][HTML] Evaluation of advanced control strategies for building energy systems
Advanced building control strategies like model predictive control and reinforcement
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …
[HTML][HTML] Explainable district heat load forecasting with active deep learning
District heat load forecasting is a challenging task that involves predicting future heat
demand based on historical data and various influencing factors. Accurate forecasting is …
demand based on historical data and various influencing factors. Accurate forecasting is …
[HTML][HTML] Data-driven offline reinforcement learning for HVAC-systems
This paper presents a novel framework for Offline Reinforcement Learning (RL) with online
fine tuning for Heating Ventilation and Air-conditioning (HVAC) systems. The framework …
fine tuning for Heating Ventilation and Air-conditioning (HVAC) systems. The framework …
Energy and exergy analysis of a subfreezing evaporator environment ammonia-water absorption refrigeration cycle: Machine learning and parametric optimization
The coefficient of performance (COP) and exergy efficiency of a single and double-effect
ammonia-water absorption refrigeration system powered by compound parabolic …
ammonia-water absorption refrigeration system powered by compound parabolic …