Utilizing Device-level Demand Forecasting for Flexibility Markets-Reference-Cited by-同舟云学术

Utilizing Device-level Demand Forecasting for Flexibility Markets

Published:2018-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Ninth International Conference on Future Energy Systems
language:
Short-container-title:

Author:

Neupane Bijay¹,Pedersen Torben Bach¹,Thiesson Bo²

Affiliation:

1. Department of Computer Science, Aalborg University, Denmark

2. Enversion A/S, Aarhus, Denmark

Funder

Innovationsfonden

Horizon 2020

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3208903.3208922

Reference38 articles.

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2. 2016. The TotalFlex Project 2014. http://www.totalflex.dk/Forside/. (2016). 2016. The TotalFlex Project 2014. http://www.totalflex.dk/Forside/. (2016).

3. H.A. Aalami M. Parsa Moghaddam and G.R. Yousefi. 2010. Modeling and prioritizing demand response programs in power markets. Electric Power Systems Research (2010) 426--435. H.A. Aalami M. Parsa Moghaddam and G.R. Yousefi. 2010. Modeling and prioritizing demand response programs in power markets. Electric Power Systems Research (2010) 426--435.

4. Autonomous Appliance Scheduling for Household Energy Management

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