Application of Artificial Intelligence (AI) on Renewable Energy

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Description

The rapid growth of the power industry and green energy technologies will increase the job opportunities and required high scaled skill hands in this area. Our nation ranks as one of the largest countries in renewable energy production which includes significantly use of wind, solar, biomass, etc. The resource augmentation and its use in energy technologies have not been kept in pace to match the increasing energy demand, leaving significant energy shortages in India. The proposed webinar would provide a collective information to the participants to gain knowledge about AI application in the Renewable Energy Integrated Power Systems. 

About Speaker

Dr. Brijesh Singh

SMIEEE, MIEEE-PES, MIEEE-IAS, MIEEE-YP, MIEEE-SC, MIEEE-SGC, MIEEE-SIGHT

B Tech (EE), M Tech (Power Systems), Ph D (IIT-BHU)

Associate Professor, Department of Electrical & Electronics Engineering Convener, KIET Centre of Excellence Power Engineering Technology and Clean Energy Integration (CEPET&CEI)

KIET Group of Institutions, Delhi-NCR, Ghaziabad, Meerut Road (NH-58), Ghaziabad, Uttar Pradesh-201206, INDIA

Member ExComm, IEEE Uttar Pradesh Section

Member ExComm, IEEE PES/IAS Joint Chapter Uttar Pradesh Section

Branch Counselor, KIET IEEE Student Branch

Program outcomes
  • The talk will address some comprehensive facts of AI applications in renewable energy forecasting, supply and demand matching, performance analysis, operation and control, optimizing renewable energy production, AI for power producers and consumers etc.

  • Provide awareness of application-based software platforms used in renewable energy applications.

  • The participants will be able to understand the design and develop concept based on power engineering technologies including renewable energy system.


Requirements
  • Mobile/Laptop/Tablet with good internet connectivity

Syllabus

  • 0 Lessons
  • 00:00:00 Hours

Program outcomes

  • The talk will address some comprehensive facts of AI applications in renewable energy forecasting, supply and demand matching, performance analysis, operation and control, optimizing renewable energy production, AI for power producers and consumers etc.
  • Provide awareness of application-based software platforms used in renewable energy applications.
  • The participants will be able to understand the design and develop concept based on power engineering technologies including renewable energy system.

About instructor

Instructor
Name : ISIEINDIA E-LEARNING
Reviews : 226 Reviews
Student : 4091 Students
Courses : 106 Courses

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