Artificial Intelligence for Smart Energy Grids

“Empowering Smart Energy Grids with Artificial Intelligence for a Sustainable Future”

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MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
4 Weeks

About

Smart energy grids represent the future of energy distribution, where advanced technologies enable efficient, reliable, and environmentally friendly energy management. This program explores the critical role of artificial intelligence in transforming traditional grids into intelligent, adaptive systems capable of real-time monitoring, energy forecasting, and demand-response strategies. Participants will learn how AI can enhance grid resilience, optimize power distribution, and reduce energy waste, contributing to a more sustainable energy landscape.
The program also covers AI applications in integrating renewable energy sources like wind and solar into smart grids, ensuring efficient energy distribution while minimizing environmental impact.

Aim

This program aims to provide participants with an in-depth understanding of how artificial intelligence (AI) can be applied to optimize smart energy grids. It focuses on AI-driven technologies for energy demand forecasting, load management, and integrating renewable energy sources, offering sustainable solutions for modern energy challenges.

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Program Objectives

Understand the fundamentals of AI and its role in smart energy grids.
Explore AI applications for real-time monitoring and energy demand forecasting.
Learn AI techniques for integrating renewable energy sources into smart grids.
Gain hands-on experience with AI tools used in energy optimization and grid management.
Analyze case studies of AI-driven smart energy grid projects globally.

Program Structure

Week 1: Introduction to AI in Energy Systems

Overview of AI in Energy: Understanding AI’s role in modern energy systems
Applications in Smart Grids & Energy Management: Examining how AI enhances energy monitoring, analysis, and efficiency
Key Concepts: AI-driven optimization, automation, and predictive analytics

Week 2: AI for Demand Forecasting and Load Management

Demand Forecasting: Using machine learning algorithms to predict energy consumption
Load Management: Techniques for optimizing load distribution to reduce peak demand and enhance stability
Data Analytics in Energy: Exploring data requirements, processing, and visualization for forecasting

Week 3: Renewable Energy Integration with AI

AI in Renewable Integration: How AI supports the integration of solar, wind, and other renewables into energy grids
Techniques & Tools: Real-time data analysis, load balancing, and energy storage solutions
Challenges and Solutions: Addressing variability, reliability, and scalability with AI

Week 4: Case Studies

Case Studies: Examining real-world implementations of AI in global smart grids, with a focus on sustainability and efficiency
Global Applications: Exploring advancements and innovations in AI-enhanced smart grids worldwide

Participant’s Eligibility

Undergraduate degree in Electrical Engineering, Environmental Science, or Computer Science.
Professionals in the energy sector or smart grid technology.
Individuals interested in renewable energy and AI applications in energy management.

Program Outcomes

Mastery of AI techniques for smart grid optimization.
Ability to apply AI for real-time energy demand forecasting and load management.
Practical skills in integrating renewable energy sources into smart energy grids.
Knowledge of AI-driven strategies for enhancing grid resilience and sustainability.
Hands-on experience with AI tools for energy system optimization.

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Fee Structure

Standard Fee: INR ~~4,998~~ USD ~~110~~

Discounted Fee: INR 2499 USD 55

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