January 2022
Intermediate to advanced
320 pages
9h 15m
English
Content preview from Cyberphysical Smart Cities Infrastructures
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7Wind Speed Prediction Using a Robust Possibilistic C‐Regression Model Method: A Case Study of Tunisia
Achraf J. Telmoudi, Moez Soltani, Lotfi Chaouech, and Abdelkader Chaari
The National Higher Engineering School of Tunis (ENSIT), Department of Electrical Engineering, Laboratoire d'Ingenierie des Systemes Industriels et des Energies Renouvelables, University of Tunis, Montfleury, Tunis, BP 56‐1008, Tunisia
7.1 Introduction
Tunisia has been trying to reduce its dependence on fossil fuel markets (in particular, oil and gas) by diversifying its sources of energy in the last few years. Strategically, the energy independence is the key factor of sovereignty and overall national security in the long term. According to International Renewable Energy Agency (IRENA) [1], the demand for electricity in Tunisia is expected to increase by 
per year and thus exceed 20 TWh by 2020 and 33 TWh by 2030. Based on the report made by the Tunisian Intended Nationally Determined Contribution (INDC) [2], the energy consumption of the building sector in particular will increase by a factor of almost 2.5 between 2010 and 2030 and will represent the highest share of energy consumption from 
in 2010 to 
in ...
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