Enforcing Sustainability in Cities: The Case of Electricity Demand and Supply of Spain

Muhammad Atif, Saud Sattar, Tazdin Amietszajew, Mehmood Bawany

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

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    Abstract

    With the ever-increasing need for sustainability, energy efficiency is of growing importance. In this paper the analysis is conducted on a public dataset from Kaggle, which contains 4 years of electrical consumption, generation, pricing, and weather data for Spain. Different visualization techniques have been applied to estimate the pattern through which the sustainable demand and supply model can be generated for the country. The analysis showed that for the past 4-years the peak energy consuming hours in Spain are from 15:00 to 20:00 whereas from 00:00 to 05:00 in the morning, the energy consumption is minimal. Moreover, the results showed that in February energy consumption is at its peak whereas the minimum energy is consumed during the month of September. Such analysis could be used by governments to implement sustainable energy policy and adjust electricity storage and production based on statistics-driver prognosis.

    Original languageEnglish
    Title of host publication2021 8th International Conference on Electrical and Electronics Engineering, ICEEE 2021
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages132-135
    Number of pages4
    ISBN (Electronic)978-1-6654-4071-4
    ISBN (Print)978-1-6654-1161-5
    DOIs
    Publication statusPublished - 10 May 2021
    Event8th International Conference on Electrical and Electronics Engineering, ICEEE 2021 - Antalya, Turkey
    Duration: 9 Apr 202111 Apr 2021

    Publication series

    Name2021 8th International Conference on Electrical and Electronics Engineering, ICEEE 2021

    Conference

    Conference8th International Conference on Electrical and Electronics Engineering, ICEEE 2021
    Country/TerritoryTurkey
    CityAntalya
    Period9/04/2111/04/21

    Bibliographical note

    © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Keywords

    • data mining
    • efficient system
    • energy predictions
    • sustainable algorithms

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Electronic, Optical and Magnetic Materials
    • Control and Optimization
    • Instrumentation

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