AI-Driven Power: Resource Planning and Analytics for Tomorrow's Grid
This programme equips participants with knowledge of best practices driving digital transformation in the power sector, with a strong emphasis on operational efficiency, reliability, and cost-effectiveness through advanced analytics and artificial intelligence.
Programme Overview
The programme focuses on automating resource planning, implementing advanced analytics, and leveraging digital tools to optimise power generation, transmission, and distribution. Participants gain insights into data-driven decision-making using predictive analytics, machine learning, and artificial intelligence for effective power resource planning.
The learning experience enables participants to forecast market trends, optimise grid operations, and proactively respond to evolving demands in the energy and power sector.
Programme Objectives
- Develop expertise in automating resource planning using advanced analytics.
- Apply AI and machine learning to enhance grid efficiency and predictive maintenance.
- Integrate multiple data sources for informed, data-driven decision-making.
- Lead digital transformation initiatives for improved performance and sustainability.
Programme Structure
Day 1: Energy and Power Sector Scenarios & Digital Transformation
- Overview of sectoral transition in the energy and power industry
- Impact of digital technologies on automation, analytics and AI applications
Day 2: Resource Planning and Management
- Integration of diverse data sources such as weather, consumption and market prices
- Data-driven decision-making for power resource management
Day 3: Sustainability and Efficiency in Operations
- Application of digital tools to enhance sustainability
- Maximising operational efficiency in the power sector
- Panel discussion and action roadmap for participants
Methodology
- Expert-led interactive sessions
- Hands-on exposure to digital tools and techniques
- Case studies and group discussions
Faculty
The programme is delivered by experienced faculty from the power sector and digital transformation domains, along with industry practitioners offering real-world insights.
Participant Profile
The programme is designed for senior officials from electricity distribution utilities, electricity regulatory commissions, renewable energy companies, power generation units, power trading companies, and power exchanges. Organisational sponsorship is essential.
Venue
The programme is fully residential. Participants will be accommodated in air-conditioned single-occupancy rooms. The campus is comprehensively Wi-Fi enabled.
Duration
The programme duration is 3 days, from February 02 to 04, 2026. Participants are expected to arrive a day prior to commencement.
Programme Fee
Residential Fee: Rs. 43,700/- plus GST (18%) per participant.
Non-Residential Fee: Rs. 37,700/- plus GST (18%) per participant.
A 10% discount is applicable for three or more participants from the same organisation, provided payment is received before January 30, 2026.
Medical Insurance
Participants must carry proof of valid medical insurance. The sponsoring agency is required to endorse coverage in the event of hospitalization.
Important Dates
Last Date for Nomination: January 23, 2026
Last Date for Withdrawal: January 27, 2026
Certificate of Participation
The College issues a Certificate of Participation upon successful completion of the programme.