Close Menu
Meteorological Technology International
  • News
    • A-E
      • Agriculture
      • Artificial Intelligence
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
    • G-P
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
    • R-S
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
    • T-Z
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    • September 2026
    • January 2026
    • April 2025
    • January 2025
    • September 2024
    • April 2024
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
LinkedIn X (Twitter) Facebook
  • Sign-up for Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
LinkedIn Facebook
Subscribe
Meteorological Technology International
  • News
      • Agriculture
      • Artificial Intelligence
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    1. September 2026
    2. April 2026
    3. January 2026
    4. September 2025
    5. April 2025
    6. January 2025
    7. September 2024
    8. April 2024
    9. January 2024
    10. Archive Issues
    11. Subscribe Free!
    Featured
    August 4, 2026

    In this Issue – September 2026

    By Web TeamAugust 4, 2026
    Recent

    In this Issue – September 2026

    August 4, 2026

    In this Issue – April 2026

    May 5, 2026

    In this Issue – January 2026

    November 27, 2025
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International
Solar

India partners on hybrid solar forecasting project for large solar parks

Alex PackBy Alex PackFebruary 5, 20262 Mins Read
Share LinkedIn Facebook Twitter Email
India partners on hybrid solar forecasting project for large solar parks.
Share
LinkedIn Facebook Twitter Email

The National Institute of Solar Energy (NISE) and Grid Controller of India have signed a memorandum of understanding to jointly carry out a research project on hybrid day-ahead and intra-day solar forecasting for large solar parks in India.

The agreement was signed by Prof. Mohammad Rihan, director general of NISE, and Manoj Kumar Agrawal, executive director of the National Load Despatch Centre (NLDC), with representatives from both organizations present, including GRID-India chairman and managing director Samir Chandra Saxena.

The project will be delivered in partnership with renewable energy developers including Adani Green Energy, NTPC Green Energy, Tata Power Renewable Energy, ReNew and Serentica Renewables. These companies will provide access to large utility-scale solar parks to support real-time deployment and validation of the forecasting system.

The initiative aims to develop a hybrid solar forecasting framework combining numerical weather prediction, satellite data and real-time all-sky imager-based nowcasting. The system is intended to produce high-frequency probabilistic forecasts, including P50 and P90 outputs, ranging from minutes ahead to 48 hours.

According to the partners, the approach is designed to improve short-term predictability for solar generation, reduce risks linked to India’s Deviation Settlement Mechanism and support more reliable scheduling for developers and system operators.

The collaboration is part of efforts to strengthen data-driven forecasting capabilities to support large-scale renewable energy integration into India’s power grid.

In related news, probability-based forecasting central to future weather prediction, Met Office says

Previous ArticleNASA makes IMAP real-time space weather data link available
Next Article DNV completes IEC classification of ZX 300e wind lidar

Read Similar Stories

Early Warning Systems

NOAA flood tool covers nearly 100% of the US

September 25, 20262 Mins Read
Automated Weather Stations

Skyfora and New York State Mesonet pilot GNSS water-vapor monitoring in New York City

September 21, 20262 Mins Read
Satellites

MTG-I2 launches, completing Europe’s three-satellite weather constellation

September 1, 20262 Mins Read
Latest News

NOAA flood tool covers nearly 100% of the US

September 25, 2026

Two weeks to go until Meteorological Technology World Expo returns to Amsterdam

September 25, 2026

Bent Ear Solutions and Western Weather Group link sensor data to utility wildfire decisions

September 25, 2026

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • Kipp & Zonen
Getting in Touch
  • Contact Us / Advertise
  • Meet the Editors
  • Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
© 2026 UKi Media & Events a division of UKIP Media & Events Ltd
  • Cookie Policy
  • Privacy Policy
  • Terms and Conditions
  • Notice and Takedown Policy

Type above and press Enter to search. Press Esc to cancel.