Agent-based Decision Making for Adoption of Smart Energy Solutions

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Agent-based simulation of the decision-making
process for adoption of smart energy solutions can provide
evidence for smart energy solutions’ providers to decide for a
business strategy which results in the best adoption rate. The
adoption rate of smart energy solutions is important in
achieving climate goals, such as the Danish goal to have 100%
renewable electricity production by 2030. This paper shows
how agent-based simulation can be used to investigate the
decision-making process for adoption of smart energy
solutions. The study investigates a case about Danish
commercial greenhouse growers’ adoption of a demand
response program. The simulation outputs an adoption curve
and grower information. The results provide the maximum
monetary cost for achieving an adoption rate of 50% in 5 years.
Original languageEnglish
Title of host publicationSciences and Humanities International Research Conference (SHIRCON) 2019
Number of pages4
PublisherIEEE
Publication statusAccepted/In press - 2019
EventSciences and Humanities International Research Conference - Lima, Peru
Duration: 12. Nov 201915. Nov 2019

Conference

ConferenceSciences and Humanities International Research Conference
CountryPeru
CityLima
Period12/11/201915/11/2019

Fingerprint

Decision making
Greenhouses
Electricity
Costs

Cite this

Christensen, K., Ma, Z., Værbak, M., Demazeau, Y., & Jørgensen, B. N. (Accepted/In press). Agent-based Decision Making for Adoption of Smart Energy Solutions. In Sciences and Humanities International Research Conference (SHIRCON) 2019 IEEE.
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title = "Agent-based Decision Making for Adoption of Smart Energy Solutions",
abstract = "Agent-based simulation of the decision-makingprocess for adoption of smart energy solutions can provideevidence for smart energy solutions’ providers to decide for abusiness strategy which results in the best adoption rate. Theadoption rate of smart energy solutions is important inachieving climate goals, such as the Danish goal to have 100{\%}renewable electricity production by 2030. This paper showshow agent-based simulation can be used to investigate thedecision-making process for adoption of smart energysolutions. The study investigates a case about Danishcommercial greenhouse growers’ adoption of a demandresponse program. The simulation outputs an adoption curveand grower information. The results provide the maximummonetary cost for achieving an adoption rate of 50{\%} in 5 years.",
author = "Kristoffer Christensen and Zheng Ma and Magnus V{\ae}rbak and Yves Demazeau and J{\o}rgensen, {Bo N{\o}rregaard}",
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language = "English",
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}

Christensen, K, Ma, Z, Værbak, M, Demazeau, Y & Jørgensen, BN 2019, Agent-based Decision Making for Adoption of Smart Energy Solutions. in Sciences and Humanities International Research Conference (SHIRCON) 2019. IEEE, Sciences and Humanities International Research Conference, Lima, Peru, 12/11/2019.

Agent-based Decision Making for Adoption of Smart Energy Solutions. / Christensen, Kristoffer; Ma, Zheng; Værbak, Magnus; Demazeau, Yves; Jørgensen, Bo Nørregaard.

Sciences and Humanities International Research Conference (SHIRCON) 2019. IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Agent-based Decision Making for Adoption of Smart Energy Solutions

AU - Christensen, Kristoffer

AU - Ma, Zheng

AU - Værbak, Magnus

AU - Demazeau, Yves

AU - Jørgensen, Bo Nørregaard

N1 - Conference paper: Sciences and Humanities International Research Conference (SHIRCON) 2019, Lima, Peru. http://congreso.uch.edu.pe/shircon/inicio_en

PY - 2019

Y1 - 2019

N2 - Agent-based simulation of the decision-makingprocess for adoption of smart energy solutions can provideevidence for smart energy solutions’ providers to decide for abusiness strategy which results in the best adoption rate. Theadoption rate of smart energy solutions is important inachieving climate goals, such as the Danish goal to have 100%renewable electricity production by 2030. This paper showshow agent-based simulation can be used to investigate thedecision-making process for adoption of smart energysolutions. The study investigates a case about Danishcommercial greenhouse growers’ adoption of a demandresponse program. The simulation outputs an adoption curveand grower information. The results provide the maximummonetary cost for achieving an adoption rate of 50% in 5 years.

AB - Agent-based simulation of the decision-makingprocess for adoption of smart energy solutions can provideevidence for smart energy solutions’ providers to decide for abusiness strategy which results in the best adoption rate. Theadoption rate of smart energy solutions is important inachieving climate goals, such as the Danish goal to have 100%renewable electricity production by 2030. This paper showshow agent-based simulation can be used to investigate thedecision-making process for adoption of smart energysolutions. The study investigates a case about Danishcommercial greenhouse growers’ adoption of a demandresponse program. The simulation outputs an adoption curveand grower information. The results provide the maximummonetary cost for achieving an adoption rate of 50% in 5 years.

M3 - Article in proceedings

BT - Sciences and Humanities International Research Conference (SHIRCON) 2019

PB - IEEE

ER -

Christensen K, Ma Z, Værbak M, Demazeau Y, Jørgensen BN. Agent-based Decision Making for Adoption of Smart Energy Solutions. In Sciences and Humanities International Research Conference (SHIRCON) 2019. IEEE. 2019