Introduction

Renewable energy sources are playing an increasing role in the world's energy production. However, the production and efficiency of renewables is highly dependent on weather conditions. The use of Artificial Intelligence (AI) allows the prediction of renewable energy sources, which has several advantages.

Benefits

1.

2. Optimised energy use. Based on these forecasts, systems can adjust energy use in time to maximise the use of renewables and minimise the use of conventional energy sources.

3. cost savings: AI-based forecasts can help to make renewable energy production more efficient, which can lead to cost savings. By increasing energy efficiency and reducing the use of conventional energy sources, the use of renewables can become more economical.

Sustainability 4: The use of AI in the forecasting of renewable energy sources contributes to sustainability. Forecasts can help to make more efficient use of renewable energy sources, reducing the impact on the environment and promoting sustainable development.

Summary

The use of Artificial Intelligence has significant benefits for the forecasting of renewable energy sources. AI can help to make more accurate forecasts, optimise energy use, save costs and promote sustainability. The application of AI can thus contribute to a more efficient use of renewable energy sources and to the promotion of sustainable development.

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