[HTML][HTML] A step towards digital operations—A novel grey-box approach for modelling the heat dynamics of ultra-low temperature freezing chambers
Ultra-low temperature (ULT) freezers store perishable bio-contents and have high energy
consumption, which highlight a demand for reliable methods for intelligent surveillance and …
consumption, which highlight a demand for reliable methods for intelligent surveillance and …
[HTML][HTML] Identification of non-linear autoregressive models with exogenous inputs for room air temperature modelling
This paper proposes non-linear autoregressive models with exogenous inputs to model the
air temperature in each room of a Danish school building connected to the local district …
air temperature in each room of a Danish school building connected to the local district …
[HTML][HTML] Linear quadratic Gaussian control with advanced continuous-time disturbance models for building thermal regulation
This paper introduces a linear quadratic control scheme for a continuous-time system with
observations taken at discrete times. Particular attention is given to the derivation of the …
observations taken at discrete times. Particular attention is given to the derivation of the …
[HTML][HTML] Optimal price signal generation for demand-side energy management
Abstract Renewable Energy Sources play a key role in smart energy systems. To achieve
100% renewable energy, utilizing the flexibility potential on the demand side becomes the …
100% renewable energy, utilizing the flexibility potential on the demand side becomes the …
[HTML][HTML] Adaptive SARIMA modelling for continuous chamber temperature tracking in ultra-low temperature freezers
Ultra-low temperature (ULT) freezers are vital for storing perishable biological materials,
requiring continuous monitoring of chamber thermal conditions to ensure sample integrity. A …
requiring continuous monitoring of chamber thermal conditions to ensure sample integrity. A …
Adaptive model predictive controller for building thermal dynamics
Model predictive controllers are becoming widespread in building thermal dynamic control
and energy management systems. Decreasing building energy consumption, load shifting …
and energy management systems. Decreasing building energy consumption, load shifting …
Stability analysis of nonlinear stochastic flexibility function in smart energy systems
Demand-side management provides a great potential for improving the efficiency and
reliability of energy systems. This requires a mechanism to connect the market level and the …
reliability of energy systems. This requires a mechanism to connect the market level and the …
Optimal Operation of Thermostatically Controlled Loads in Residential Buildings under Uncertainty: From a Building to an Electricity System Perspective
A Uytterhoeven - 2022 - lirias.kuleuven.be
Advanced control strategies, and model predictive control (MPC) in particular, are gaining
widespread attention for building climate control, since they can systematically save energy …
widespread attention for building climate control, since they can systematically save energy …
[PDF][PDF] Energy and AI
This paper proposes non-linear autoregressive models with exogenous inputs to model the
air temperature in each room of a Danish school building connected to the local district …
air temperature in each room of a Danish school building connected to the local district …
Grey-box modelling and forecasting of stormwater flow in sewer systems
MB Bjerregård - 2022 - orbit.dtu.dk
The goal of this thesis is to wrap up my endeavours in the realm of modelling and
probabilistic forecasting. The work is anchored in my two quite different papers and is …
probabilistic forecasting. The work is anchored in my two quite different papers and is …