Prediction of energy consumption in office buildings based on echo state network

Abstract

Energy consumption of an office building is generally divided into energy consumptions from sockets, lights and air-conditioners, which are measured in each room of the office building by three ammeters installed inside, respectively. On the other hand, an office building generally consists of several types of rooms, i.e., office rooms, computer rooms, storage rooms, meeting rooms, etc., the energy consumption of which varies in accordance with different working routines in each type of room. In this paper, several novel reservoir topologies of echo state network (ESN) are proposed, and ESNs with different reservoir topologies are applied to predicting energy consumption of rooms in an office building. A case study shows that the proposed simplified reservoir topologies are sufficient to achieve outstanding performance of ESN in the prediction of building energy consumption.