Goals

The objectives of the training Data Analytics Course for Energy Projects :

• Objective 1: Use statistical data analysis tools to determine the requirements of ISO 50001:2018 to improve the energy performance of organisations.
• Objective 2: Use Power BI or Tableau to monitor the meters or sensors that control the operational and maintenance variables that affect the energy performance of organisations.
• Objective 3: Regression and classification models for energy analysis (RStudio/Power BI)
o Linear and multivariable regressions
o Decision trees / random forest
o KNN
o Neural networks
o GLM regressions

Teaching methods

Blended Learning

Program

1. ISO 50001:2018 standard
a. Introduction to ISO 50001:2018
b. Energy baseline
c. Energy performance indicators
d. Planning for energy data collection
e. Operational planning and control
f. Design
g. Procurement
h. Monitoring, measurement, analysis and evaluation of energy performance and the SGEn

2. Statistics for data management
a. Descriptive statistics
b. Probabilities
3. Use of data visualisation tools
3. Use of data visualisation tools
a. Introduction and programming in Tableau
b. Introduction and programming in Power BI
c. Online connection of sensors/meters
d. Algorithms

4. Case studies: Applications
a. Online monitoring of electrical energy meters
b. Determination of KPIs
c. Verification of energy savings in energy projects.

For who ?

Target 1: Managers and/or Heads of Production/Maintenance.
Target 2: Energy Managers
Target 3: Energy Efficiency Consultants
Prerequisites
Ability to read and write Spanish.
Apave +
More than 20 years of experience in specialised technical training

Training

Data Analytics Course for Energy Projects

Ref : PRLIE04
In progress
Price on request
Blended Learning

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