HIGHLIGHTS
- who: . and colleagues from the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran have published the paper: A Secure Federated Deep Learning-Based Approach for Heating Load Demand Forecasting in Building Environment, in the Journal: (JOURNAL)
- what: In this study, cooling and heating loads are investigated for five office buildings. The aim of this study is to develop an ELM-based model that can extract the correlation between features, mutual information their association strengths, and their relation with heating and cooling loads based on the structural characteristics of the building. Lack of . . .
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