Forecasting the Diffusion of innovation for Solar PV Adoption for Community Housing

Ameni Boumaiza; Antonio Sanfilippo

doi:10.1109/IECON49645.2022.9969032

Forecasting the Diffusion of innovation for Solar PV Adoption for Community Housing

Ameni Boumaiza
, Antonio Sanfilippo

Qatar Environment and Energy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Based on the dissemination of knowledge in social networks within urban communities, this study proposes an agent-based model of innovation diffusion for Renewable Energy Technologies (RET1 ). To model the pace of RET innovation diffusion, the information flow patterns across social media networks including Twitter and home networks are merged. The resulting strategy offers a framework for capturing how RET innovation dissemination in urban neighborhood networks and online social networks may affect household uptake of renewable energy technology. The introduction of solar PV in Qatar serves as an example of how this strategy is applied.

Original language	English
Title of host publication	IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
Number of pages	5
ISBN (Electronic)	9781665480253
DOIs	https://doi.org/10.1109/IECON49645.2022.9969032
Publication status	Published - 2022
Externally published	Yes
Event	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022

Publication series

Name	Ieee Industrial Electronics Society

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/Territory	Belgium
City	Brussels
Period	17/10/22 → 20/10/22

Keywords

Agent-Based Modeling
Diffusion of Innovation
Renewable Energy Adoption
Renewable Energy Technologies
Social Network Analysis

Access to Document

10.1109/IECON49645.2022.9969032

Cite this

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title = "Forecasting the Diffusion of innovation for Solar PV Adoption for Community Housing",

abstract = "Based on the dissemination of knowledge in social networks within urban communities, this study proposes an agent-based model of innovation diffusion for Renewable Energy Technologies (RET1 ). To model the pace of RET innovation diffusion, the information flow patterns across social media networks including Twitter and home networks are merged. The resulting strategy offers a framework for capturing how RET innovation dissemination in urban neighborhood networks and online social networks may affect household uptake of renewable energy technology. The introduction of solar PV in Qatar serves as an example of how this strategy is applied.",

keywords = "Agent-Based Modeling, Diffusion of Innovation, Renewable Energy Adoption, Renewable Energy Technologies, Social Network Analysis",

author = "Ameni Boumaiza and Antonio Sanfilippo",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

year = "2022",

doi = "10.1109/IECON49645.2022.9969032",

language = "English",

series = "Ieee Industrial Electronics Society",

publisher = "IEEE Computer Society",

booktitle = "IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society",

address = "United States",

}

Boumaiza, A & Sanfilippo, A 2022, Forecasting the Diffusion of innovation for Solar PV Adoption for Community Housing. in IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. Ieee Industrial Electronics Society, IEEE Computer Society, 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17/10/22. https://doi.org/10.1109/IECON49645.2022.9969032

Forecasting the Diffusion of innovation for Solar PV Adoption for Community Housing. / Boumaiza, Ameni; Sanfilippo, Antonio.
IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2022. (Ieee Industrial Electronics Society).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Forecasting the Diffusion of innovation for Solar PV Adoption for Community Housing

AU - Boumaiza, Ameni

AU - Sanfilippo, Antonio

PY - 2022

Y1 - 2022

N2 - Based on the dissemination of knowledge in social networks within urban communities, this study proposes an agent-based model of innovation diffusion for Renewable Energy Technologies (RET1 ). To model the pace of RET innovation diffusion, the information flow patterns across social media networks including Twitter and home networks are merged. The resulting strategy offers a framework for capturing how RET innovation dissemination in urban neighborhood networks and online social networks may affect household uptake of renewable energy technology. The introduction of solar PV in Qatar serves as an example of how this strategy is applied.

AB - Based on the dissemination of knowledge in social networks within urban communities, this study proposes an agent-based model of innovation diffusion for Renewable Energy Technologies (RET1 ). To model the pace of RET innovation diffusion, the information flow patterns across social media networks including Twitter and home networks are merged. The resulting strategy offers a framework for capturing how RET innovation dissemination in urban neighborhood networks and online social networks may affect household uptake of renewable energy technology. The introduction of solar PV in Qatar serves as an example of how this strategy is applied.

KW - Agent-Based Modeling

KW - Diffusion of Innovation

KW - Renewable Energy Adoption

KW - Renewable Energy Technologies

KW - Social Network Analysis

UR - https://www.scopus.com/pages/publications/85143895249

U2 - 10.1109/IECON49645.2022.9969032

DO - 10.1109/IECON49645.2022.9969032

M3 - Conference contribution

AN - SCOPUS:85143895249

T3 - Ieee Industrial Electronics Society

BT - IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

Forecasting the Diffusion of innovation for Solar PV Adoption for Community Housing

Abstract

Publication series

Conference

Keywords

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