Building plug load mode detection, forecasting and scheduling

Author:

Botman LolaORCID,Lago JesusORCID,Fu Xiaohan,Chia KeatonORCID,Wolf JesseORCID,Kleissl JanORCID,De Moor Bart

Funder

KU Leuven

California Energy Commission

European Research Council

Government of Flanders

FWO

Publisher

Elsevier BV

Reference64 articles.

1. Assessing and reducing plug and process loads in office buildings;Trenbath,2020

2. Device-level plug load disaggregation in a zero energy office building and opportunities for energy savings;Doherty;Energy Build,2019

3. Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building;Lanzisera;Build Environ,2013

4. Kalluri B, Kamilaris A, Kondepudi S, Wei KH. Classifying Office Plug Load Appliance Events in the context of NILM using Time-series Data Mining. In: Proceedings of the 12th REHVA world congress and CLImA, vol. 6. 2016, p. 1–11.

5. A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings;Kamilaris;Renew Sustain Energy Rev,2014

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