Modeling Collaborative Behaviors in Energy Ecosystems
The notions of a collaborative virtual power plant ecosystem (CVPP-E) and a cognitive household digital twin (CHDT) have been proposed as contributions to the efficient organization and management of households within renewable energy communities (RECs). CHDTs can be modeled as software agents that...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/12/2/39 |
| _version_ | 1827757950371889152 |
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| author | Kankam O. Adu-Kankam Luis M. Camarinha-Matos |
| author_facet | Kankam O. Adu-Kankam Luis M. Camarinha-Matos |
| author_sort | Kankam O. Adu-Kankam |
| collection | DOAJ |
| description | The notions of a collaborative virtual power plant ecosystem (CVPP-E) and a cognitive household digital twin (CHDT) have been proposed as contributions to the efficient organization and management of households within renewable energy communities (RECs). CHDTs can be modeled as software agents that are designed to possess some cognitive capabilities, enabling them to make autonomous decisions on behalf of their human owners based on the value system of their physical twin. Due to their cognitive and decision-making capabilities, these agents can exhibit some behavioral attributes, such as engaging in diverse collaborative actions aimed at achieving some common goals. These behavioral attributes can be directed to the promotion of sustainable energy consumption in the ecosystem. Along this line, this work demonstrates various collaborative practices that include: (1) collaborative roles played by the CVPP manager such as (a) opportunity seeking and goal formulation, (b) goal proposition/invitation to form a coalition or virtual organization, and (c) formation and dissolution of coalitions; and (2) collaborative roles played by CHDTs which include (a) acceptance or decline of an invitation based on (i) delegation/non-delegation and (ii) value system compatibility/non-compatibility, and (b) the sharing of common resources. This study adopts a simulation technique that involves the integration of multiple simulation methods such as system dynamics, agent-based, and discrete event simulation techniques in a single simulation environment. The outcome of this study confirms the potential of adding cognitive capabilities to CHDTs and further shows that these agents could exhibit certain collaborative attributes, enabling them to become suitable as rational decision-making agents in households. |
| first_indexed | 2024-03-11T08:58:41Z |
| format | Article |
| id | doaj.art-28b64c2a21f04da8a73d028f3b81d343 |
| institution | Directory Open Access Journal |
| issn | 2073-431X |
| language | English |
| last_indexed | 2024-03-11T08:58:41Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj.art-28b64c2a21f04da8a73d028f3b81d3432023-11-16T19:53:19ZengMDPI AGComputers2073-431X2023-02-011223910.3390/computers12020039Modeling Collaborative Behaviors in Energy EcosystemsKankam O. Adu-Kankam0Luis M. Camarinha-Matos1School of Science and Technology, Center of Technology and Systems (UNINOVA-CTS) and Associated Lab. of Intelligent Systems (LASI), NOVA University of Lisbon, Caparica, 2829-516 Lisbon, PortugalSchool of Science and Technology, Center of Technology and Systems (UNINOVA-CTS) and Associated Lab. of Intelligent Systems (LASI), NOVA University of Lisbon, Caparica, 2829-516 Lisbon, PortugalThe notions of a collaborative virtual power plant ecosystem (CVPP-E) and a cognitive household digital twin (CHDT) have been proposed as contributions to the efficient organization and management of households within renewable energy communities (RECs). CHDTs can be modeled as software agents that are designed to possess some cognitive capabilities, enabling them to make autonomous decisions on behalf of their human owners based on the value system of their physical twin. Due to their cognitive and decision-making capabilities, these agents can exhibit some behavioral attributes, such as engaging in diverse collaborative actions aimed at achieving some common goals. These behavioral attributes can be directed to the promotion of sustainable energy consumption in the ecosystem. Along this line, this work demonstrates various collaborative practices that include: (1) collaborative roles played by the CVPP manager such as (a) opportunity seeking and goal formulation, (b) goal proposition/invitation to form a coalition or virtual organization, and (c) formation and dissolution of coalitions; and (2) collaborative roles played by CHDTs which include (a) acceptance or decline of an invitation based on (i) delegation/non-delegation and (ii) value system compatibility/non-compatibility, and (b) the sharing of common resources. This study adopts a simulation technique that involves the integration of multiple simulation methods such as system dynamics, agent-based, and discrete event simulation techniques in a single simulation environment. The outcome of this study confirms the potential of adding cognitive capabilities to CHDTs and further shows that these agents could exhibit certain collaborative attributes, enabling them to become suitable as rational decision-making agents in households.https://www.mdpi.com/2073-431X/12/2/39collaborative networksdigital twinscognitive software agentssustainable energy consumptioncollaborative decision-makingenergy communities |
| spellingShingle | Kankam O. Adu-Kankam Luis M. Camarinha-Matos Modeling Collaborative Behaviors in Energy Ecosystems Computers collaborative networks digital twins cognitive software agents sustainable energy consumption collaborative decision-making energy communities |
| title | Modeling Collaborative Behaviors in Energy Ecosystems |
| title_full | Modeling Collaborative Behaviors in Energy Ecosystems |
| title_fullStr | Modeling Collaborative Behaviors in Energy Ecosystems |
| title_full_unstemmed | Modeling Collaborative Behaviors in Energy Ecosystems |
| title_short | Modeling Collaborative Behaviors in Energy Ecosystems |
| title_sort | modeling collaborative behaviors in energy ecosystems |
| topic | collaborative networks digital twins cognitive software agents sustainable energy consumption collaborative decision-making energy communities |
| url | https://www.mdpi.com/2073-431X/12/2/39 |
| work_keys_str_mv | AT kankamoadukankam modelingcollaborativebehaviorsinenergyecosystems AT luismcamarinhamatos modelingcollaborativebehaviorsinenergyecosystems |