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Predictive Agents for the Forecast of CO2 Emissions Issued from Electrical Energy Production and Gas Consumption

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Embedded Systems and Artificial Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1076))

Abstract

Energy production is nowadays compulsory for human well-being. However, the current energy systems and increasing demand come with a heavy environmental cost, hence, forecasting the environmental impact of energy production became a crucial task in order to control and reduce pollutant emissions while monitoring energy production. This paper describes an agent-based approach for forecasting CO2 emissions issued from energy production and consumption in the Algerian city of Annaba using data provided by the Algerian electricity and gas distribution company SONALGAZ. The proposed approach consists of combining artificial neural networks (ANN) forecasting models with an agent-based architecture in order to give the ability to the autonomous agents to forecast the hourly gas consumption and electrical production using dedicated ANNs. Forecasted values will then be used to calculate the equivalent amount of emitted CO2 for both energy sources.

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Author information

Authors and Affiliations

  1. Laboratoire de Gestion Electronique de Documents (LabGED), Department of Computer Science, University Badji Mokhtar, PO-Box 12, 23000, Annaba, Algeria

    Seif Eddine Bouziane & Mohamed Tarek Khadir

Authors
  1. Seif Eddine Bouziane
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  2. Mohamed Tarek Khadir
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Corresponding author

Correspondence to Seif Eddine Bouziane .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Department of Computer Sciences, Faculty of Sciences Dhar Mahraz, Sidi Mohammed Ben Abbdallah University, Fez, Morocco

    Hassan Satori

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Bouziane, S.E., Khadir, M.T. (2020). Predictive Agents for the Forecast of CO2 Emissions Issued from Electrical Energy Production and Gas Consumption. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_18

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