Data-driven model predictive control using random forests for building energy optimization and climate control
Abstract Model Predictive Control (MPC) is a model-based technique widely and
successfully used over the past years to improve control systems performance. A key factor …
successfully used over the past years to improve control systems performance. A key factor …
Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort
Efficient HVAC devices are not sufficient to achieve high levels of building energy
performance, since the regulation/control strategy plays a fundamental role. This study …
performance, since the regulation/control strategy plays a fundamental role. This study …
Reinforcement learning for optimal control of low exergy buildings
Over a third of the anthropogenic greenhouse gas (GHG) emissions stem from cooling and
heating buildings, due to their fossil fuel based operation. Low exergy building systems are …
heating buildings, due to their fossil fuel based operation. Low exergy building systems are …
Occupant feedback based model predictive control for thermal comfort and energy optimization: A chamber experimental evaluation
In current centralized building climate control, occupants do not have much opportunity to
intervene the automated control system. This study explores the benefit of using thermal …
intervene the automated control system. This study explores the benefit of using thermal …
Model predictive control of central chiller plant with thermal energy storage via dynamic programming and mixed-integer linear programming
This work considers the optimal scheduling problem for a campus central plant equipped
with a bank of multiple electrical chillers and a thermal energy storage (TES). Typically, the …
with a bank of multiple electrical chillers and a thermal energy storage (TES). Typically, the …
Nonlinear model predictive control for the space heating system of a university building in Norway
Abstract Space heating accounts for a significant share of a building's energy use; moreover,
occupants' desires for better thermal comfort may further increase the energy use and peak …
occupants' desires for better thermal comfort may further increase the energy use and peak …
Long-term implementation of a model predictive controller for a hydronic floor heating and cooling system in a highly glazed house in Canada
This article presents the results of a 182 day implementation of a model predictive controller
(MPC) in a test house in Ottawa, Canada. The MPC controls the timing of hydronic floor …
(MPC) in a test house in Ottawa, Canada. The MPC controls the timing of hydronic floor …
A hybrid short-term load forecasting model and its application in ground source heat pump with cooling storage system
Y **e, P Hu, N Zhu, F Lei, L **ng, L Xu, Q Sun - renewable energy, 2020 - Elsevier
This paper proposed a hybrid hour-ahead forecast model, which combines multiple
superimposed long and short term memory (LSTM) network and back-propagation neural …
superimposed long and short term memory (LSTM) network and back-propagation neural …
Towards the real-life implementation of MPC for an office building: Identification issues
Modern control methods such as Model Predictive Control (MPC) are getting popular in
recent years in many fields of industry. One of the branches that have witnessed great …
recent years in many fields of industry. One of the branches that have witnessed great …
[HTML][HTML] Model predictive control under weather forecast uncertainty for HVAC systems in university buildings
In buildings, there are two yet conflicting optimization goals: 1) minimize energy use and
energy cost and 2) maximize thermal comfort. Model predictive control (MPC) is an ideal …
energy cost and 2) maximize thermal comfort. Model predictive control (MPC) is an ideal …