Sensor deployment configurations for building energy consumption prediction

Author:

Bucarelli Nidia,El-Gohary Nora

Funder

University of Illinois at Urbana-Champaign

Publisher

Elsevier BV

Reference58 articles.

1. U.S. Energy Information Administration, Monthly energy review: August 21, U. S. Department of Energy, Washington, DC, 2021. https://www.eia.gov/totalenergy/data/monthly/pdf/mer.pdf.

2. Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities;Silva;Sustain. Cities Soc.,2018

3. Forecast electricity demand in commercial building with machine learning models to enable demand response programs;Pallonetto;Energy AI,2022

4. A short-term building energy consumption prediction and diagnosis using deep learning algorithms;Li;J. Intell. Fuzzy Syst.: Applic. Eng. Technol.,2022

5. Intelligent prediction method of building energy consumption based on deep learning;Fan;Sci. Program.,2021

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