Are artificial intelligence and renewable energy a match made in heaven?

AI is a vital technology when it comes to the integration of disparate renewable energy sources.

 FREMONT, CA: Renewable energy resources are cost-effective and straightforward means to reduce electricity costs and carbon emissions. However, there have been various arguments regarding renewable sources of energy. The emergence of hybrid energy sources is an alternative to unreliable renewable sources. AI (Artificial intelligence) is the primary technology that can revolutionize how various energy sources can be integrated into diverse energy sources. AI can also contribute to transmitting and consuming renewable energy by transforming the legacy grid network. Here are the fundamental ways in which AI can increase value to the cause of the integration of energy sources.

Enhanced Centralized Control Centers

With the development in technologies like sensors and computational capabilities, the interconnected nature of the energy grid is gaining strength. The present scenario allows utility providers in the form of AI. AI algorithms can study data collected through sensors and provide essential operational perceptions to the energy providers.

Proliferation of Microgrids

The proliferation of microgrids will open the way to managing distributed energy. With a rise in the number of community-level renewable energy generation facilities installed on the grid, balancing grid energy flows becomes increasingly complex. Once again, AI algorithms will play a vital role in the controlled optimization of the various renewable energy sources within the grid.

Smart Utility Consumer Devices

The introduction of intelligent batteries is being coupled with rooftop solar, EV chargers, and energy management systems. AI will increase the value of most operations and provide new ways of lowering expenses by applying transitive energy controls that operate on real-time energy pricing.

Therefore, AI has an enormous capacity to power the prompt of hybrid energy generation and further improve the prospects of extraction of energy from renewable energy sources.