Peak shaving in district heating exploiting reinforcement learning and agent-based modelling

Author:

Solinas Francesco M.ORCID,Bottaccioli Lorenzo,Guelpa Elisa,Verda Vittorio,Patti Edoardo

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference36 articles.

1. Development of an intelligent building controller to mitigate indoor thermal dissatisfaction and peak energy demands in a district heating system;Ahn;Build. Environ.,2017

2. Minimizing grid interaction of solar generation and DHW loads in nZEBs using model-free reinforcement learning;Ali,2017

3. ANSI/ASHRAE Standard 55-2017: Thermal Environmental Conditions for Human Occupancy;American Society of Heating, Refrigerating and Air Conditioning Engineers (Atlanta, Georgia),2017

4. Bottlenecks in district heating networks and how to eliminate them–A simulation and cost study;Brange;Energy,2017

5. IoT software infrastructure for energy management and simulation in smart cities;Brundu;IEEE Trans. Ind. Inf.,2016

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