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 LearningProgram
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 2: Energy Managers
Target 3: Energy Efficiency Consultants
Training
Data Analytics Course for Energy Projects
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