Power forecasts predict that renewable energy sources will become the largest source of global electricity by early 2025, surpassing coal. Growth will be driven primarily by solar PV and wind, with solar becoming the largest renewable source globally by 2029 and wind by 2030. These forecasts also highlight the increasing need for grid flexibility to integrate the growing variable generation from solar and wind.

   Power forecasts predict that renewable energy sources will become the largest source of global electricity by early 2025, surpassing coal. Growth will be driven primarily by solar PV and wind, with solar becoming the largest renewable source globally by 2029 and wind by 2030. These forecasts also highlight the increasing need for grid flexibility to integrate the growing variable generation from solar and wind. 
Global renewable power forecasts
Becoming the largest source:- Renewables are projected to become the largest source of global electricity generation, surpassing coal around early 2025.
Continued growth: -
Renewable energy’s share of the global electricity mix is expected to grow to nearly 45% by 2030, with solar PV accounting for over half of the increase.
Solar and wind dominance: -
Solar PV and wind power generation are predicted to double over the next five years.Solar PV is expected to surpass hydropower to become the largest single renewable power source globally by 2029.
Wind-based generation is expected to surpass hydropower by 2030.
Offshore wind growth: -
Offshore wind is expected to see the fastest growth among all renewables in the next five years. 
Challenges and methods
Grid integration: -
The rapid growth of variable renewables like solar and wind requires additional sources of power system flexibility to ensure grid reliability.
Forecasting methods:-
Machine learning: -
Artificial intelligence, particularly deep learning models, is increasingly used for forecasting renewable energy generation.
Satellite imagery: -
Satellite data on cloud properties and wind speeds is used in forecasting models.
Hybrid models: -
Combining different models, such as a combination of machine learning with satellite imagery analysis, can lead to more accurate forecasts.
Specific forecasting needs:-
 Beyond just power output, forecasts are also needed for potential events like ramps, high wind or temperature shutdowns, and icing on panels. 
Executive summary – Renewables 2022 – Analysis - IEA
Renewables will transform the global power mix through 2027, becoming the largest source of electricity. Renewables become the largest source of global electric.
IEA – International Energy Agency
Renewables - Energy System - IEA
29 Jan 2025 — 
The global power mix is set to transform by 2030 Global renewable electricity generation is forecast to climb to over 17 000 terawatt-hours (TWh) by .
IEA – International Energy Agency
Renewable electricity – Renewables 2025 – Analysis - IEA
Renewables will become the largest global energy source, used for almost 45% of electricity generation by 2030. Electricity generation from renewables is expected
IEA – International Energy Agency
Renewable Energy Forecasting - 
1)Utilization of Satellite Imagery: 
The integration of Sentinel satellite imagery analysis allows for near and offshore wind speed evaluation and bathymetry.
   Renewable Energy in India - IICA
The Government of India's. ambitious target of 450 GW renewable power installed capacity by the year 2030 would prove to. be a daunting task for the system.
MJF Lion ER YK Sharma 

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