An HVAC regulation architecture for smart building based on weather forecast

Kavalionak H., Carlini E.

Immbalanced datasets  Classification  Benchmarking  Credit scoring 

Indoor climate control is one of the most important operations affecting the level of comfort, power consumption and costs in large buildings. The imminent proliferation of smart buildings equipped with a plethora of sensors and devices is a strong motivation to employ efficient and possibly automatic mechanisms to control indoor building climate. This paper proposes an high- level conceptual architecture for climate control in smart buildings, which is built on top of various state of the art approaches and solutions from different research fields. The core components of the architecture is heat transfer model to predict indoor temperature, which takes into account weather forecast and information coming from indoor sensors. The model is designed such that to adapt to different configurations and structural properties of buildings. The ultimate vision is the creation of a comprehensive system for indoor building temperature regulation to reduce energy consumption and operational costs of buildings without affecting (or even improving) the comfort conditions of its occupants.

Source: GECON 2018 - 15th International Conference on the Economics of Grids, Clouds, Systems, and Services, pp. 92–103, Pisa, Italy, 18-20 September, 2018

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