Artificial Intelligence and a Digital Twin are effecting building energy Management

Deena, G.; Gulati, Kamal; Jha, Rashmi; Bajjuri, Usha Rani; Sahithullah, M.; Singh, Manjeet

doi:10.1109/icses55317.2022.9914233

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…[ 154 ] AI, multi-actor game-theoretic decision making, dynamic network analysis Disaster city Situation assessment, decision making, coordination Vision for leveraging AI and human intelligence in disaster management through a DT paradigm Deena et al. [ 155 ] AI, ML Building energy management Testing energy-efficient intervention scenarios and optimizing energy usage Development of a DT-based optimization system for energy management in a residential area Strielkowski et al. [ 156 ] AI Energy sector Safety, security, and reliability of energy networks Overview of DT in smart grids and its application in improving energy network safety and reliability, as well as use cases for design, operation, control, and maintenance planning in energy utilities.…”

Section: Results: Analysis and Synthesismentioning

confidence: 99%

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

Bibri,

Huang,

Jagatheesaperumal

et al. 2024

Environmental Science and Ecotechnology

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Section: Results: Analysis and Synthesismentioning

confidence: 99%

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

Bibri,

Huang,

Jagatheesaperumal

et al. 2024

Environmental Science and Ecotechnology

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Artificial Inteligence Impact on Buildings Energy Efficiency

Cortiços,

Duarte

2023

2023 7th International Conference on Computer, Software and Modeling (ICCSM)

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Modeling Collaborative Behaviors in Energy Ecosystems

Adu-Kankam

Camarinha-Matos

2023

Computers

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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.

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Artificial Intelligence and a Digital Twin are effecting building energy Management

Cited by 3 publications

References 7 publications

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

Artificial Inteligence Impact on Buildings Energy Efficiency

Modeling Collaborative Behaviors in Energy Ecosystems

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