Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data

Mohamed Massaoudi, Ines Chihi, Lilia Sidhom, Mohamed Trabelsi, Fakhreddine S. Oueslati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Temperature forecasting based on meteorological data is the key stage for an accurate estimation of PV power production and demand-side management leading to better grid stability. Typically, weather forecasting is the prediction of weather parameters for seconds until months ahead based on the historical weather database. Thus, researchers create several approaches to maximize the accuracy of these predictions and increase the period of estimation. This paper proposes a new medium and long-term temperature forecasting approach based on Multi Inputs Single Output (MISO) model base on empirical equations. The parameters of the proposed model are computed using a Recursive Least Squares (RLS) method. Using a set of real meteorological data, simulation results are presented to show the high accuracy of the proposed temperature forecasting approach.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages2402-2407
Number of pages6
ISBN (Electronic)9781728148786
DOIs
Publication statusPublished - Oct 2019
Event45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal
Duration: 14 Oct 201917 Oct 2019

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2019-October

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
CountryPortugal
CityLisbon
Period14/10/1917/10/19

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Keywords

  • long-term prediction
  • medium-term prediction
  • MISO model
  • RLS Algorithm
  • solar energy
  • Temperature forecasting

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Massaoudi, M., Chihi, I., Sidhom, L., Trabelsi, M., & Oueslati, F. S. (2019). Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data. In Proceedings: IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society (pp. 2402-2407). [8927778] (IECON Proceedings (Industrial Electronics Conference); Vol. 2019-October). IEEE Computer Society. https://doi.org/10.1109/IECON.2019.8927778