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Time Series Forecasting on Power Consumption
This article aims at leveraging time series analysis to predict Power Consumption in the city of Tétouan, Morocco
Introduction
The project's goal is to leverage time series analysis to predict energy consumption in 10-minute windows for the city of Tétouan in Morocco.
Context
According to a 2014 Census, Tétouan is a city in Morocco with a population of 380,000 people, occupying an area of 11,570 km². The city is located in the northern portion of the country and it faces the Mediterranean sea. The weather is particularly hot and humid during the summer.
According to the state-owned ONEE, the “National Office of Electricity and Drinking Water”, Morocco’s energy production in 2019 came primarily from coal (38%), followed by hydroelectricity (16%), fuel oil (8 %), natural gas (18%), wind (11%), solar (7%), and others (2%) [1].
Given the strong dependency on non-renewable sources (64%), forecasting energy consumption could help the stakeholders better manage purchases and stock. On top of that, Morocco’s plan is to reduce energy imports by increasing production from renewable sources. It’s common knowledge that sources like wind and solar present the risk of…
