Strategies for Agent-based Decision Optimization for Smart Energy Solutions Adoption
| dc.contributor.author | Chauca, Mario | |
| dc.date.accessioned | 2020-08-17T03:07:59Z | |
| dc.date.accessioned | 2022-02-22T12:12:35Z | |
| dc.date.available | 2020-08-17T03:07:59Z | |
| dc.date.available | 2022-02-22T12:12:35Z | |
| dc.date.issued | 2020-07 | |
| dc.description.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. | en_US |
| dc.description.country | Peru | en |
| dc.description.institution | Universidad Ricardo Palma | en |
| dc.description.track | Energy, Water and Sustainable Engineering | en |
| dc.identifier.isbn | 978-958-52071-4-1 | |
| dc.identifier.issn | 2414-6390 | |
| dc.identifier.other | http://laccei.org/LACCEI2020-VirtualEdition/meta/FP509.html | |
| dc.identifier.uri | http://dx.doi.org/10.18687/LACCEI2020.1.1.509 | |
| dc.identifier.uri | https://axces.info/handle/10.18687/20200101_509 | |
| dc.journal.referato | peerReview | |
| dc.language.iso | English | en_US |
| dc.publisher | LACCEI Inc. | en_US |
| dc.rights | LACCEI License | |
| dc.rights.uri | https://laccei.org/blog/copyright-laccei-papers/ | |
| dc.subject | Agent-based simulation | en_US |
| dc.subject | Smart energy solutions | en_US |
| dc.subject | Decision making | en_US |
| dc.subject | Innovation adoption | en_US |
| dc.title | Strategies for Agent-based Decision Optimization for Smart Energy Solutions Adoption | |
| dc.type | Article | en_US |