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Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings

2019; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-030-30241-2_39

1611-3349

Aria Jozi, Daniel Ramos, Luís Gomes, Pedro Faria, Tiago Pinto, Zita Vale,

Neural Networks and Applications

Due to the increment of the energy consumption and dependency of the nowadays lifestyle to the electrical appliances, the essential role of an energy management system in the buildings is realized more than ever. With this motivation, predicting energy consumption is very relevant to support the energy management in buildings. In this paper, the use of an energy management system supported by forecasting models applied to energy consumption prediction is demonstrated. The real-time automatic forecasting system is running separately but integrated with the existing SCADA system. Nine different forecasting approaches to obtain the most reliable estimated energy consumption of the building during the following hours are implemented.