Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

K. Stepanovic; Jichen Wu; Rob Everhardt; M.M. de Weerdt

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

K. Stepanovic, Jichen Wu, Rob Everhardt, M.M. de Weerdt

Algorithmics

Research output: Contribution to conference › Abstract › Scientific

38 Downloads (Pure)

Original language	English
Number of pages	3
Publication status	Published - 2022
Event	34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn) - Mechelen, Belgium Duration: 7 Nov 2022 → 9 Nov 2022

Conference

Conference	34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn)
Abbreviated title	BNAIC/BeNeLearn 2022
Country/Territory	Belgium
City	Mechelen
Period	7/11/22 → 9/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

4th generation district heating;
combined heat and power economic dispatch
Markov decision process
Q-learning
pipeline energy storage
mixed-integer nonlinear program

Access to Document

BNAICBeNeLearn_2022_submission_750Final published version, 330 KB

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning
Stepanovic, K., Wu, J., Everhardt, R. & de Weerdt, M., 2022, In: Energies. 15, 9, p. 1-25 25 p., 3290.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
6 Link opens in a new tab Citations (Scopus)

124 Downloads (Pure)

Cite this

@conference{22759e9a510e44c18ec8d2bb8ae5c37b,

title = "Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning",

keywords = "4th generation district heating;, combined heat and power economic dispatch, Markov decision process, Q-learning, pipeline energy storage, mixed-integer nonlinear program",

author = "K. Stepanovic and Jichen Wu and Rob Everhardt and {de Weerdt}, M.M.",

year = "2022",

language = "English",

note = "34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn), BNAIC/BeNeLearn 2022 ; Conference date: 07-11-2022 Through 09-11-2022",

}

Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning. / Stepanovic, K.; Wu, Jichen; Everhardt, Rob et al.
2022. Abstract from 34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn), Mechelen, Belgium.

Research output: Contribution to conference › Abstract › Scientific

TY - CONF

T1 - Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning

AU - Stepanovic, K.

AU - Wu, Jichen

AU - Everhardt, Rob

AU - de Weerdt, M.M.

PY - 2022

Y1 - 2022

KW - 4th generation district heating;

KW - combined heat and power economic dispatch

KW - Markov decision process

KW - Q-learning

KW - pipeline energy storage

KW - mixed-integer nonlinear program

M3 - Abstract

T2 - 34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn)

Y2 - 7 November 2022 through 9 November 2022

ER -