Deep Learning for Forecasting the Energy Consumption in Public Buildings

Autor: Chifu, Viorica Rozina, Pop, Cristina Bianca, Chifu, Emil St., Barleanu, Horatiu

Publikováno v: 2021 20th RoEduNet Conference: Networking in Education and Research (RoEduNet), 2021, pp. 1-6

In this paper we propose a Long Short-Term Memory Network based method to forecast the energy consumption in public buildings, based on past measurements. Our approach consists of three main steps: data processing step, training and validation step,

Externí odkaz: http://arxiv.org/abs/2207.11953

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