Index

Heading 3 Example

Heading 4 Example

Heading 2 Example

Heading 3 Example

Heading 4 Example

Self Paced

AI in Energy and Utilities

Energy engineers, AI researchers, and data scientists focused on energy management and utilities optimization.

Explore

Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
3 Weeks

About

This program explores how AI is transforming the energy and utilities sector by optimizing operations, enhancing renewable energy forecasting, and supporting smart grid management. Participants will learn to implement AI for predictive maintenance, energy trading, and efficient use of renewable resources.

Aim

To provide advanced knowledge on the integration of AI in the energy sector, covering renewable energy management, grid optimization, and predictive maintenance. This course enables participants to use AI to improve efficiency, reduce costs, and enhance sustainability in energy production, distribution, and consumption.

Program Objectives

Understand how AI is transforming the energy and utilities sector.
Implement AI models for renewable energy management and predictive maintenance.
Explore AI-driven smart grid solutions.
Learn to optimize energy consumption using AI tools.
Gain hands-on experience with AI applications in energy trading and fault detection.

Program Structure

Module 1: Introduction to AI in Energy and Utilities

Overview of AI Applications in the Energy Sector
Challenges Facing Modern Energy and Utility Systems
Key AI Technologies: Machine Learning, IoT, and Big Data
Benefits of AI in Energy Efficiency and Resource Management

Module 2: AI for Energy Demand Forecasting

Predictive Analytics for Energy Demand
Time Series Forecasting with Machine Learning
AI for Load Balancing and Peak Load Management
Case Studies in Energy Demand Forecasting

Module 3: AI for Smart Grids

Concept of Smart Grids and Their Benefits
AI for Real-Time Monitoring and Control
Grid Optimization with AI Algorithms
Applications of AI in Decentralized Energy Systems

Module 4: AI in Renewable Energy Systems

AI for Solar and Wind Energy Forecasting
Optimizing Renewable Energy Integration with AI
AI for Energy Storage Management
Real-World Examples in Renewable Energy Optimization

Module 5: AI for Predictive Maintenance in Energy Infrastructure

Condition Monitoring with AI
Predictive Maintenance for Power Plants and Grids
Reducing Downtime and Costs with AI-Based Monitoring
Case Studies in Maintenance Optimization

Module 6: AI for Energy Efficiency and Optimization

AI for Reducing Energy Waste in Industrial Systems
AI-Driven Energy Auditing and Smart Metering
Optimizing Energy Consumption in Buildings with AI
Real-World Applications in Smart Homes and Cities

Module 7: Ethical and Regulatory Considerations in AI for Energy

Data Privacy and Security in Energy AI
Ethical Considerations in Energy Automation
Regulatory Frameworks for AI in Utilities
Environmental Impact of AI-Powered Energy Solutions

Participant’s Eligibility

Energy engineers, AI researchers, and data scientists focused on energy management and utilities optimization.

Program Outcomes

Ability to implement AI models for optimizing renewable energy management and smart grids.
Proficiency in predictive maintenance and fault detection using AI.
Skills to optimize energy consumption and participate in AI-driven energy trading markets.
Hands-on experience with AI applications for sustainable and efficient energy management.

Fee Structure

Standard Fee: INR ~~4,998~~ USD 78

Discounted Fee: INR 2499 USD 39

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

Batches

Spring

Summer

Live

Autumn

Winter

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Learner Support

Best of support with us

Phone (For Voice Call)

WhatsApp (For Call & Chat)

Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.