Conference Paper2017Cited by 2

A Smart Grid Prerequisite: Survey on Electricity Demand Forecasting Models and Scope Analysis of Demand Fsorecasting in Bangladesh

Samiul Islam, Amin Ahsan Ali, Moinul Zaber

IEEE Region 10 Humanitarian Technology Conference 2017 (IEEE R10HTC 2017)

IEEE, pp. 691-696

  • Affordable and Clean Energy — Relevance: 70%
  • Industry, Innovation and Infrastructure — Relevance: 71%
DOI: 10.1109/r10-htc.2017.8289052URL

Abstract

Electricity supply via smart grid mechanism is gaining importance in many country's priority lists. A detailed study on electricity forecasting is required to ensure a smooth transition to the smart grid. Forecasting is evident to ensure better management of generation plants, supply grids and the transmission system. This article focuses on demand forecasting study as a preparation of smart grid, presents a technical survey/review of several forecasting methods which have been done earlier. This paper also conducts a study highlighting the forecasting scenario, performs scope analysis from developing countries' context and presents analytical results of a short-term forecasting. As a candidate, these have been discussed on the basis of electricity load data of Dhaka, the capital city of Bangladesh; one of the world's most highly populated city. Electricity distribution has been handled in Dhaka city by two companies, DESCO and DPDC. This article discusses on few average sized DESCO zones of its total 16 and emphasized more on Shah Ali zone. Two selective feature based forecasting methods have been also proposed and results have been shown to support that forecasting will help to see the unseen.

Keywords

  • load forecasting
  • short-term load forecasting
  • Smart grid
  • developing countries
  • Dhaka
  • forecasting methods
  • electricity distribution

CCDS Authors

Amin Ahsan Ali, PhD
Amin Ahsan Ali, PhD

Amin Ahsan Ali, PhD

  • Director, AI/ML Wing

Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

ACL, CHI, UbiComp, ECCV, IJCAI, ECAI, WACV, IPSN, PAKDD, LREC, IJCNN, ICPR, ICIP, BEA, BLP, ICMLA, Scientific Reports, Scientific Data, Pattern Recognition, Information Sciences, Ad Hoc Networks, Drug and Alcohol Dependence, PLOS ONE

Research Interests

Artificial Intelligence, Machine Learning

Moinul I Zaber, PhD
Moinul I Zaber, PhD

Moinul I Zaber, PhD

  • Director, HCI Wing
  • Supervisor, DS Wing

Professor

+2 more affiliations

Department of Computer Science & Engineering

Dhaka University

Published at

ICPR, HCII, JMIR

Research Interests

Computational Social Science, Human-Computer Interaction, Telecommunication Policy

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  2. 2.Murshed Al Amin, MD. Jawad-Al-Mursalin Hoque, Zakia Nazzum, Md Abu Sayed, Sarker Tanveer Ahmed Rumee, Moinul Islam Zaber. (2023). Data Quality Assessment of Substation Data in Bangladesh: Insights from Handwritten Data Digitization. , 09, 1–6[10.1109/icps60393.2023.10428984]
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