Simulation and analysis of Indian residential electricity consumption using agent-based models

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dc.contributor.author Dhar, Sohini
dc.contributor.author Srinivasan, Babji
dc.contributor.author Srinivasan, Rajagopalan
dc.date.accessioned 2018-07-17T09:37:17Z
dc.date.available 2018-07-17T09:37:17Z
dc.date.issued 2018-01
dc.identifier.citation Dhar, Sohini; Srinivasan, Babji and Srinivasan, Rajagopalan,"Simulation and analysis of Indian residential electricity consumption using agent-based models", Computer Aided Chemical Engineering, DOI: 10.1016/B978-0-444-64235-6.50037-1, vol. 43, pp. 205-210, Jan. 2018. en_US
dc.identifier.uri http://dx.doi.org/10.1016/B978-0-444-64235-6.50037-1
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3784
dc.description.abstract The increasing demand of residential consumption and the integration of renewable energy sources have motivated researchers to develop grid simulations for testing energy management strategies. Agent-based modelling is one such methodology with the capability of mimicking the emergent and complex behaviour of grids over time. Thus, we have utilized this concept to model and predict the energy consumption of a house. Results from the simulation indicate the proposed approach closely mimics the fine-grained energy data obtained from the residential unit in India. This model possesses the flexibility to be extended to estimate the electricity demand of different localities in India and, in step, to understand the behaviour of the agent with the integration of low carbon technology.
dc.description.statementofresponsibility by Sohini Dhar, Babji Srinivasan and Rajagopalan Srinivasan
dc.format.extent vol. 43, pp. 205-210
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject agent-based simulation en_US
dc.subject energy demand modeling en_US
dc.subject domestic sector en_US
dc.subject residential consumption en_US
dc.title Simulation and analysis of Indian residential electricity consumption using agent-based models en_US
dc.type Book chapter en_US
dc.relation.journal Computer Aided Chemical Engineering


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