Cascading Probability Distributions in Agent-Based Models: An Application to Behavioural Energy Wastage

Abdallah, Fatima; Basurra, Shadi; Gaber, Mohamed Medhat

doi:10.1007/978-3-319-91262-2_44

Cited by 3 publications

(5 citation statements)

References 14 publications

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“…The messaging intervention is simulated in an ABM that was developed in Abdallah et al [68], [69]. The ABM is implemented in Repast Simphony (https://repast.github.io)a Java-based agent-based platform.…”

Section: A Layer One: Daily Behaviour Sub-modelmentioning

confidence: 99%

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A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach

2019

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In response to the increased energy consumption in residential buildings, various efforts have been devoted to increase occupant awareness using energy feedback systems. However, it was shown that the feedback provided by these systems is not enough to inform occupant actions to reduce energy consumption. Another approach is to control energy consumption using automated energy management systems. The automatic control of appliances takes out the occupant sense of control, which is proved to be uncomfortable in many cases. This paper proposes an energy messaging intervention that keeps the control for occupants while supporting them with actionable messages. The messages inform occupants about energy waste incidents happening in their house in real time, which enables occupants to take actions to reduce their consumption. Besides, a heuristic is defined to make the intervention non-intrusive by controlling the rate and time of the messages sent to occupants. The proposed intervention is evaluated in a novel layered agentbased model. The first layer of the model generates the detailed energy consumption and realistic occupant activities. The second layer is designed to simulate the peer pressure effect on the energy consumption behavior of the individuals. The third layer is a customizable layer that simulates energy interventions. The implemented intervention in this paper is the proposed non-intrusive messaging intervention. A number of scenarios are presented in the experiments to show how the model can be used to evaluate the proposed intervention and achieve energy efficiency targets.INDEX TERMS Agent-based modeling, energy consumption, energy efficiency, energy feedback system, energy interventions, energy management system.

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Section: A Layer One: Daily Behaviour Sub-modelmentioning

confidence: 99%

“…This indicates that the models produce the same distribution of data, thus the predictive validity of the occupancy and activities data is passed from the existing PM to our developed ABM. For further validation, the reader is referred to [68] and [69].…”

Section: ) Energy Consumption Behaviour Simulationmentioning

confidence: 99%

A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach

2019

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“…The proposed family pressure model is based on the ABM developed in Abdallah et al [15,16]. The model simulates energy consumption behaviour of families.…”

Section: The Agent-based Modelmentioning

confidence: 99%

“…When the activity ends, it chooses to turn the appliance ON or OFF based on its energy awareness attribute (ea) and any other occupant (O a ) who is sharing the same appliance according to functions 4 and 5. For more details about the previous model, readers are referred to [15,16].…”

Section: The Agent-based Modelmentioning

confidence: 99%

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An Agent-Based Collective Model to Simulate Peer Pressure Effect on Energy Consumption

Abdallah

Basurra

Gaber

2018

Computational Collective Intelligence

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This paper presents a novel model for simulating peer pressure effect on energy awareness and consumption of families. The model is built on two well-established theories of human behaviour to obtain realistic peer effect: the collective behaviour theory and the theory of cognitive dissonance. These theories are implemented in a collective agentbased model that produces fine-grained behaviour and consumption data based on social parameters. The model enables the application of different energy efficiency interventions which aim to obtain more aware occupants and achieve more energy saving. The presented experiments show that the implemented model reflects the human behaviour theories. They also provide examples of how the model can be used as an analytical tool to interpret the effect of energy interventions in the given social parameters and decide the optimal intervention needed in different cases.

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Influence of interior layouts on occupant energy-saving behaviour in buildings: An integrated approach using Agent-Based Modelling, System Dynamics and Building Information Modelling

Uddin

Chi

Wei

et al. 2022

Renewable and Sustainable Energy Reviews

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Cascading Probability Distributions in Agent-Based Models: An Application to Behavioural Energy Wastage

Cited by 3 publications

References 14 publications

A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach

A Non-Intrusive Heuristic for Energy Messaging Intervention Modeled Using a Novel Agent-Based Approach

An Agent-Based Collective Model to Simulate Peer Pressure Effect on Energy Consumption

Influence of interior layouts on occupant energy-saving behaviour in buildings: An integrated approach using Agent-Based Modelling, System Dynamics and Building Information Modelling

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