#ReinforcementLearning to Reduce Building Energy Consumption
#ModelPredictiveControl (MPC)
The basic #MPC concept can be summarized as follows. Suppose that we wish to control a multiple-input, multiple-output process while satisfying inequality constraints on the input and output variables. If a reasonably accurate dynamic model of the process is available, model and current measurements can be used to predict future values of the outputs. Then the appropriate changes in the input variables can be computed based on both predictions and measurements.
Link
š @DeepGravity
#ModelPredictiveControl (MPC)
The basic #MPC concept can be summarized as follows. Suppose that we wish to control a multiple-input, multiple-output process while satisfying inequality constraints on the input and output variables. If a reasonably accurate dynamic model of the process is available, model and current measurements can be used to predict future values of the outputs. Then the appropriate changes in the input variables can be computed based on both predictions and measurements.
Link
š @DeepGravity
Datasciencecentral
Reinforcement Learning to Reduce Building Energy Consumption
Heating, ventilation, and air conditioning of buildings accounts alone for nearly 40% of the global energy demand [1].
The need for Energy Savings has become iā¦
The need for Energy Savings has become iā¦