ELEC-E3151 Mathematical Computing Data import and analysis Jorma Selin (M.Sc.)

Data import and analysis Lecture 1: Interactive importing, plotting, and modelling of data Programmatic importing of data Lecture 2: Linear regression and non-linear fitting of data Lecture 3: Analysis of variance (ANOVA) Lecture 4: Preprocessing and signals analysis Separate sets of homework exercises for each lecture 4 sets x 10 points/set = 40 points

Lecture 1 Interactive data analysis and programmatic data import ELEC-E3151 Mathematical Computing - Data import and analysis 26th of September 2017

Modelling solar radiation For solar energy applications, it is important to be able to determine the total annual amount of solar energy irradiated by the Sun at any given area. In some developing countries, direct measurement of solar irradiation might not be possible. Let’s use this as an excuse to make an overly simplified model. Solar ratio ( 𝑹 𝒔 ) = Global solar radiation Extraterrestial solar radiation 𝑹 𝒔 =𝒂 𝟏+𝒃𝑯 𝟏− 𝒆 −𝒄𝚫 𝐓 𝒏 , where 𝑯 is the relative humidity, 𝚫𝐓 is the daily temperature variation, and 𝒂,𝒃,𝒄, and 𝒏 are model parameters. ELEC-E3151 Mathematical Computing - Data import and analysis 26th of September 2017

What will we be doing? Demo with MATLAB: Importing columns from an Excel file into MATLAB as vectors Interactive plotting Playing around with datetime-data Interactive plot configuring Introducing the table data type Logical indexing Creating a predictive model Testing our model ELEC-E3151 Mathematical Computing - Data import and analysis 26th of September 2017

If you cannot make it to class… Today’s lecture is based on this video tutorial: https://youtu.be/uyT_I6aJS6E ELEC-E3151 Mathematical Computing - Data import and analysis 26th of September 2017