Simulation of a proposed novel weather forecast control for ground source heat pumps as a mean to evaluate the feasibility of forecast controls' influence on the photovoltaic electricity self-consumption. Appl. Energy 2016, 164, 579–589. [CrossRef] 15. Arteconi, A.; Hewitt, N.J.; Polo...
[28] deployed several sensors over a home to obtain a smart-home environment that could forecast the wellness of an individual and monitor her/his physical activity around their home environment. Mano et al. [29] have developed a Health Smart Home (HSH) that can identify the emotions of ...
Therefore, achieving deep reductions in residential space heating emissions will likely require stronger policy instruments in the medium term; the non-traded carbon price forecast at the time of writing is not sufficient. Overall it is evident from the results that the best performing heating ...
Prediction or forecast errors of AI-assisted HVAC control. sensoFroerrtrhoersO. Tnh–Oe2r0feffocoren,trthoel variables of V calculated H is and Var[y(t + 1)], equal to one, and both are directly proportional to any it becomes the comparison reference. For PID control, when the damping ...
The main task of Varmelast Company is related to the preparation of the day-before heating plan, based on the DH forecast disclosed by companies, which considers fuel prices, operating and maintenance costs, hydraulic bottlenecks in the network, and other parameters. Moreover, the combined ...
the simulation dataset to develop the regression prediction model Predictive models achieved a high-performance between 91.81% and 98.05% for consumptions of energy and between 96.83% and 99.56% for CO2 emissions The developed model can be employed to forecast the overall energy use in the early ...