Omicron
Testo
Rayzon
Home » Videos » AI is improving renewable energy forecasts

AI is improving renewable energy forecasts

October 16, 2025 6:27 pm

The renewable energy industry is the largest use case for AI. But forecasting generation and adding the demand side to integrate RE is a challenge. India’s 40 percent capacity and 22 to 23 percent of its generation come from RE. But we have to reach 500 gigawatts by 2030 and net zero by 2070; all of this would require integrating #RE.

Bullet Points:

AI in Renewable Energy Industry

  • AI is crucial for the renewable energy industry, particularly in forecasting generation and demand side integration.
  • India’s 40% capacity and 22-23% of its generation come from renewable energy (RE).
  • The goal is to reach 500 gigawatts by 2030 and net zero by 2070, requiring integration of RE.

Long-term and Short-term Forecasting

Advertising

EPR Android App Banner

  • Long-term forecasting is crucial for project planning, investment commitments, and project bankability.
  • Short-term forecasting is used for revenue and minimizing Deviation Settlement Mechanism (#DSM) penalties.
  • AI provides intuitive models to establish relationships between multiple variables in determining the forecast.
  • Generation and Demand Side Forecast

    • Generation and demand-side forecasts must be made on a 15-minute time block basis.
    • AI provides machine learning models, deep learning models, and neural networks for forecasting.
    • However, these models require training and data, presenting ongoing challenges.

    Machine Learning Model

    • A machine learning model was developed using data from the last three to four years to produce adjusted forecasts, improve QC forecasts, and reduce DSM penalties.
    • The model identifies key factors across 96-time blocks in a day, predicting these factors and applying them to the forecasting agency’s inputs.

    Potential Applications of Large AI Models

    • Large AI models, including LLMs, can aid in large decision-making processes like predictive maintenance, overall generation forecasting, and load forecasting based on smart meters.
    • AI models can also add value, reduce costs, or enhance revenue.

    #power #news #india #eprmagazine #energystorage #cleanenergy #cleanenergy #electrical #greenenergy #renewableenergy #solar #eprmagazine #renewableenergy #AIInEnergy #EnergyForecasting #SustainableIndia #CleanEnergy #SmartGrid #EnergyTransition #GreenTech #MachineLearning #netzeroindia

    Cookie Consent

    We use cookies to personalize your experience. By continuing to visit this website you agree to our Terms & Conditions, Privacy Policy and Cookie Policy.

    Android App
    Power Talk
    Webinar

    Events

    Renewable Energy India (REI)
    ELAsia 2026

    Our Sponsors

    Kp Group
    Panasonic Life Solutions India Pvt Ltd
    Rayzon Solar Pvt Ltd
    Om Technical Solutions
    Credence Solar
    NBC Bearings
    Adani Solar
    Apar Industries
    Ravin Group
    Meco Instruments Pvt Ltd
    Icon Solar-En Power
    Novasys
    Testo India
    Waa Cables
    Sunbond Energy Pvt Ltd
    Gloster Cables Limited
    Timken
    Orange Power
    Vsole Solar
    flir system
    Omicron
    Dhash
    Godrej Enterprises
    Hitachi
    Cosmic
    SolarXpert
    Pom-Power
    Compaq
    Knack Energy
    Kirloskar Pumps
    Polycab
    Electrotherment
    Aeron Composite Pvt Ltd
    Ruby Mica
    Shine Industries
    PRAMA HIKVISION INDIA
    TDK Electronics