AI-powered Energy Forecasting & Dispatch System

Balancing renewable energy and electricity demand using AI

Problem Statement

  • Renewable energy (solar, wind, hydro) is growing rapidly in India, but its intermittency creates grid instability.
  • Fossil fuels, especially coal, still dominate power generation, providing over 60% of India’s electricity.
  • Due to poor balancing and forecasting, a significant portion of renewable energy is wasted (curtailed).
  • This results in higher operational costs, excessive coal burning, and avoidable CO₂ emissions.

Proposed Solution

An AI-powered Smart Dispatch System that:
  • Forecasts renewable generation using weather, historical, and real-time data.
  • Predicts demand patterns with machine learning models.
  • Optimizes dispatch of renewables and fossil backup in real-time.
  • Ensures grid stability by dynamically balancing supply and demand.
  • Reduces reliance on costly and polluting fossil fuel reserves.

Current Scenario in India

  • 30% of power capacity is renewable, but actual utilization is far lower due to balancing inefficiencies.
  • Fossil fuels still account for over 60% of India’s electricity.
  • Growing demand means coal plants continue to run as backup, even when renewable supply is available.
  • Result: energy wastage, higher emissions, and billions in added fuel costs annually.

Our Idea’s Impact

With AI-optimized dispatch:
  • 20–25% reduction in fossil fuel dependency through smarter integration of renewables.
  • Lower renewable wastage by forecasting supply-demand gaps in advance.
  • More resilient grid operations, reducing risks of blackouts.
  • Reduced costs for utilities and consumers.
  • Significant emission reductions, aligning with India’s climate goals.

Reducing Coal Burning

Current system keeps coal plants running as spinning reserves (backup). Our AI solution enables dynamic ramping down of coal units when renewable forecasts are accurate.

Benefits:
  • Lower fuel consumption & costs.
  • Fewer CO₂ and SO₂ emissions → cleaner air and healthier communities.
  • No compromise on reliability → backup only when genuinely required.

Towards Sustainability

  • Scalable solution: works for large states, city grids, and even rural microgrids.
  • Enables faster adoption of 100% clean energy with affordability and reliability.
  • Supports India’s net-zero transition by reducing coal reliance without economic disruption.
  • Provides actionable insights to policymakers and DISCOMs (distribution companies).

Visualizing The "Duck Curve" Problem

This graph shows the daily challenge of balancing renewable energy with grid demand.

Visualizing The AI Solution

This graph shows how the AI Smart Dispatch System solves the problem.

Note: The exact energy mix will vary from state to state and region to region. This graph represents an idealized scenario where the AI can optimally dispatch resources. Real-world performance depends on local factors like plant efficiency, ramp capability, battery capacity, and forecast quality.