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Tricia Bagley
By the end of this project, you will understand the principles of load forecasting used by power companies to balance the supply and load demand of energy. You will also be able to conduct a load forecast in Google Sheets.
To do this, you will work in the...
Read more
By the end of this project, you will understand the principles of load forecasting used by power companies to balance the supply and load demand of energy. You will also be able to conduct a load forecast in Google Sheets.
To do this, you will work in the...
Read more
By the end of this project, you will understand the principles of load forecasting used by power companies to balance the supply and load demand of energy. You will also be able to conduct a load forecast in Google Sheets.
To do this, you will work in the free-to-use software Google Sheets while exploring how load forecasting provides the building block for planning efforts decades into the future. You will also understand how load forecasting influences more than energy planning efforts because it also informs financial and operational planning and rate setting by governments through weather normalization techniques.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/qrliba/principles
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Taught by Tricia Bagley, who has expertise in energy forecasting
Builds an understanding of load forecasting, a key aspect of energy planning
Practical focus, enabling learners to conduct load forecasts in Google Sheets
Focuses on the North American region, providing a tailored experience for learners in that area
Save this course
Save Principles of Load Forecasting in Google Sheets to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Principles of Load Forecasting in Google Sheets with these
activities:
Review the course syllabus and materials
Show steps
Refamiliarize yourself with the course objectives, schedule, and readings to enhance your focus and organization throughout the course.
Show steps
-
Read the course syllabus thoroughly
-
Preview the course materials, including readings and assignments
Review basic statistics and probability concepts
Show steps
Strengthen your foundation in statistics and probability to enhance your ability to analyze and interpret data in the context of load forecasting.
Browse courses on
Statistics
Show steps
-
Review textbooks or online resources on basic statistics
-
Solve practice problems to test your understanding
Complete Google's Quickstart Guide for Google Sheets
Show steps
Familiarize yourself with the basics of Google Sheets to enhance your proficiency in data analysis and load forecasting.
Browse courses on
Google Sheets
Show steps
-
Follow the steps in the Quickstart Guide
-
Create a sample spreadsheet and practice entering and manipulating data
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review "Power System Analysis and Design" by Glover, Sarma, and Overbye
Show steps
Review the fundamentals of power system analysis and design to strengthen your understanding of load forecasting principles.
View
Power System Analysis and Design, SI Edition
on Amazon
Show steps
-
Read Chapter 1: Introduction
-
Complete the practice problems at the end of Chapter 1
-
Summarize the key concepts of power system analysis
Join a study group and discuss load forecasting concepts
Show steps
Engage with fellow learners by forming a study group to discuss load forecasting concepts, enhancing your understanding through collaboration.
Show steps
-
Find a study partner or group
-
Schedule regular meetings to discuss course material
-
Collaborate on practice problems and assignments
Practice load forecasting calculations
Show steps
Practicing sample load forecasting calculations will help you develop a deeper understanding of the principles and techniques covered in this course.
Show steps
-
Gather historical load data from the course materials or other sources.
-
Select appropriate forecasting methods based on the characteristics of the load data.
-
Apply the selected methods to forecast future load demand.
-
Compare the accuracy of different forecasting methods using error metrics.
Solve practice problems on load forecasting
Show steps
Strengthen your analytical skills by solving practice problems related to load forecasting, improving your ability to analyze and interpret data.
Show steps
-
Find practice problems online or in textbooks
-
Solve the problems using the concepts learned in the course
-
Check your solutions and identify areas for improvement
Develop a load forecasting dashboard
Show steps
Creating a load forecasting dashboard will allow you to visualize and analyze load data, making it easier to identify trends and patterns.
Show steps
-
Gather necessary data and identify key metrics for load forecasting.
-
Design the dashboard layout and select appropriate visualization techniques.
-
Implement the dashboard using a visualization tool or software.
-
Test the dashboard functionality and make necessary adjustments.
-
Present the dashboard to demonstrate your understanding of load forecasting principles.
Develop a load forecasting model in Google Sheets
Show steps
Apply your knowledge of load forecasting and Google Sheets by creating a functional model that can predict energy demand, solidifying your understanding of the concepts.
Show steps
-
Gather historical data on energy consumption
-
Choose appropriate forecasting techniques and implement them in Google Sheets
-
Validate and refine your model
-
Present your findings and discuss the implications of your model
Explore advanced load forecasting techniques
Show steps
Exploring advanced load forecasting techniques will enhance your understanding of the field and enable you to tackle more complex forecasting challenges.
Show steps
-
Research and identify advanced load forecasting techniques, such as time series decomposition, machine learning algorithms, or ensemble methods.
-
Follow online tutorials or read academic papers to gain knowledge about these techniques.
-
Apply the techniques to real-world load forecasting scenarios.
-
Evaluate the performance of the advanced techniques and compare them to traditional methods.
Write a blog post or article on load forecasting
Show steps
Solidify your understanding of load forecasting by explaining the concepts and techniques in a written format, enhancing your ability to communicate complex ideas.
Show steps
-
Choose a specific aspect of load forecasting to focus on
-
Research the topic thoroughly
-
Write a draft of your blog post or article
-
Revise and edit your work, ensuring clarity and accuracy
-
Publish and share your content
Review the course syllabus and materials
Show steps
Refamiliarize yourself with the course objectives, schedule, and readings to enhance your focus and organization throughout the course.
Show steps
Show steps
Show steps
- Read the course syllabus thoroughly
- Preview the course materials, including readings and assignments
Review basic statistics and probability concepts
Show steps
Strengthen your foundation in statistics and probability to enhance your ability to analyze and interpret data in the context of load forecasting.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review textbooks or online resources on basic statistics
- Solve practice problems to test your understanding
Complete Google's Quickstart Guide for Google Sheets
Show steps
Familiarize yourself with the basics of Google Sheets to enhance your proficiency in data analysis and load forecasting.
Browse courses on
Google Sheets
Show steps
Show steps
Show steps
- Follow the steps in the Quickstart Guide
- Create a sample spreadsheet and practice entering and manipulating data
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Review "Power System Analysis and Design" by Glover, Sarma, and Overbye
Show steps
Review the fundamentals of power system analysis and design to strengthen your understanding of load forecasting principles.
View
Power System Analysis and Design, SI Edition
on Amazon
Show steps
Show steps
Show steps
- Read Chapter 1: Introduction
- Complete the practice problems at the end of Chapter 1
- Summarize the key concepts of power system analysis
Join a study group and discuss load forecasting concepts
Show steps
Engage with fellow learners by forming a study group to discuss load forecasting concepts, enhancing your understanding through collaboration.
Show steps
Show steps
Show steps
- Find a study partner or group
- Schedule regular meetings to discuss course material
- Collaborate on practice problems and assignments
Practice load forecasting calculations
Show steps
Practicing sample load forecasting calculations will help you develop a deeper understanding of the principles and techniques covered in this course.
Show steps
Show steps
Show steps
- Gather historical load data from the course materials or other sources.
- Select appropriate forecasting methods based on the characteristics of the load data.
- Apply the selected methods to forecast future load demand.
- Compare the accuracy of different forecasting methods using error metrics.
Solve practice problems on load forecasting
Show steps
Strengthen your analytical skills by solving practice problems related to load forecasting, improving your ability to analyze and interpret data.
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks
- Solve the problems using the concepts learned in the course
- Check your solutions and identify areas for improvement
Develop a load forecasting dashboard
Show steps
Creating a load forecasting dashboard will allow you to visualize and analyze load data, making it easier to identify trends and patterns.
Show steps
Show steps
Show steps
- Gather necessary data and identify key metrics for load forecasting.
- Design the dashboard layout and select appropriate visualization techniques.
- Implement the dashboard using a visualization tool or software.
- Test the dashboard functionality and make necessary adjustments.
- Present the dashboard to demonstrate your understanding of load forecasting principles.
Develop a load forecasting model in Google Sheets
Show steps
Apply your knowledge of load forecasting and Google Sheets by creating a functional model that can predict energy demand, solidifying your understanding of the concepts.
Show steps
Show steps
Show steps
- Gather historical data on energy consumption
- Choose appropriate forecasting techniques and implement them in Google Sheets
- Validate and refine your model
- Present your findings and discuss the implications of your model
Explore advanced load forecasting techniques
Show steps
Exploring advanced load forecasting techniques will enhance your understanding of the field and enable you to tackle more complex forecasting challenges.
Show steps
Show steps
Show steps
- Research and identify advanced load forecasting techniques, such as time series decomposition, machine learning algorithms, or ensemble methods.
- Follow online tutorials or read academic papers to gain knowledge about these techniques.
- Apply the techniques to real-world load forecasting scenarios.
- Evaluate the performance of the advanced techniques and compare them to traditional methods.
Write a blog post or article on load forecasting
Show steps
Solidify your understanding of load forecasting by explaining the concepts and techniques in a written format, enhancing your ability to communicate complex ideas.
Show steps
Show steps
Show steps
- Choose a specific aspect of load forecasting to focus on
- Research the topic thoroughly
- Write a draft of your blog post or article
- Revise and edit your work, ensuring clarity and accuracy
- Publish and share your content
Career center
Learners who complete Principles of Load Forecasting in Google Sheets will develop knowledge and skills
that may be useful to these careers:
Electrical Load Forecaster
Electrical Load Forecaster
Electrical Load Forecasters make long-term plans for power supply and demand. This course is an excellent introduction to the foundational knowledge that an Electrical Load Forecaster must have. It uniquely provides a foundation in how to use Google Sheets for load forecasting. Familiarity with Google Sheets is an unusual but helpful skill for an Electrical Load Forecaster to have, giving you an edge over other applicants. Furthermore, this course gives you insight into how load forecasting is used to inform planning and setting rates.
Energy Planner
Energy Planner
Energy Planners design programs that reduce energy consumption and promote the use of clean energy. This course can help you begin to build the essential foundation of energy forecasting. Furthermore, this course covers the role load forecasting plays in planning efforts. Because Energy Planners must be able to predict future energy demand, this course will give you a competitive advantage.
Power Systems Analyst
Power Systems Analyst
Power Systems Analysts study and develop ways to improve the reliability and efficiency of power systems. This course can help you learn a valuable skill that can supplement your other knowledge as an Analyst. Since Power Systems Analysts must be able to model and predict load demand, this course will put you ahead of other candidates.
Energy Economist
Energy Economist
Energy Economists study the economic aspects of energy production, distribution, and use. This course would be a useful introduction to some of the quantitative skills you will need to become an Energy Economist. Moreover, the course modules on Google Sheets would be a valuable addition to your skillset.
Renewable Energy Analyst
Renewable Energy Analyst
Renewable Energy Analysts study the potential of renewable energy sources to reduce reliance on fossil fuels. This course would give you a solid introduction to the kind of forecasting that many Renewable Energy Analysts perform. Moreover, the course's discussion on weather normalization techniques is a specific skill that will make you a more desirable candidate.
Sustainability Consultant
Sustainability Consultant
Sustainability Consultants help organizations define and achieve their environmental sustainability goals. This course might be a useful introduction to the energy forecasting skills that many Sustainability Consultants use. Furthermore, the course's emphasis on the use of Google Sheets will give you an advantage in using data for your clients.
Data Analyst
Data Analyst
Data Analysts compile and interpret data to provide insights for businesses. This course will help you develop basic load forecasting skills that Data Analysts must have. Moreover, this course emphasizes the use of Google Sheets, a valuable tool for a Data Analyst.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems. This course will help you learn valuable forecasting skills that Business Analysts need to have. Business Analysts can work in many industries, but those in the energy sector may find that this course is particularly relevant.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make financial decisions. Since this course introduces the financial implications of load forecasting, it could help you to become a more competitive candidate for Financial Analyst roles.
Electrical Engineer
Electrical Engineer
Electrical Engineers design, develop, test, and supervise the installation of electrical systems and components. This course is a useful introduction to the foundational understanding of energy systems that Electrical Engineers often use.
Mechanical Engineer
Mechanical Engineer
Mechanical Engineers design, develop, build, and test mechanical systems and components. This course may help you to develop some preliminary skills that Mechanical Engineers use, such as load forecasting.
Civil Engineer
Civil Engineer
Civil Engineers design, build, and maintain the physical and naturally built environment. This course may be a useful introduction to some of the energy forecasting skills that Civil Engineers utilize during planning.
Project Manager
Project Manager
Project Managers plan and execute projects to achieve specific goals. This course may provide you with some entry-level skills in load forecasting that Project Managers use. In particular, this course will introduce you to weather normalization techniques, a skill some Project Managers must have.
Operations Manager
Operations Manager
Operations Managers plan, organize, and direct the operations of an organization. This course provides basic skills in load forecasting which some Operations Managers use.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course will help you develop preliminary skills in forecasting that many Statisticians use. This course will be particularly helpful if you wish to work as a Statistician in the energy sector.
For more career information including salaries, visit:
OpenCourser.com/course/qrliba/principles
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Principles of Load Forecasting in Google Sheets.
Save
Comprehensive treatment of forecasting. It covers a wide range of topics, including forecasting methods, data analysis, and model validation. It useful reference for anyone interested in learning more about load forecasting.
Save
Classic in the field of statistical methods for forecasting. It covers a wide range of topics, including forecasting methods, data analysis, and model validation. It useful reference for anyone interested in learning more about load forecasting.
Comprehensive treatment of statistical learning. It covers a wide range of topics, including forecasting methods, data analysis, and model validation. It useful reference for anyone interested in learning more about load forecasting.
Save
Comprehensive treatment of time series analysis with applications in R. It covers a wide range of topics, including forecasting methods, data analysis, and model validation. It useful reference for anyone interested in learning more about load forecasting.
Comprehensive treatment of time series analysis with R examples. It covers a wide range of topics, including forecasting methods, data analysis, and model validation. It useful reference for anyone interested in learning more about load forecasting.
Save
Classic in the field of time series analysis and forecasting. It covers a wide range of topics, including forecasting methods, data analysis, and model validation. It useful reference for anyone interested in learning more about load forecasting.
Comprehensive textbook on power system analysis and design. It covers a wide range of topics, including load forecasting. It useful reference for anyone interested in learning more about the subject.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qrliba/principles
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Tricia Bagley
Good to know
Taught by Tricia Bagley, who has expertise in energy forecasting
Builds an understanding of load forecasting, a key aspect of energy planning
Practical focus, enabling learners to conduct load forecasts in Google Sheets
Focuses on the North American region, providing a tailored experience for learners in that area
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