Why Data Intelligence Is Imperative to Achieve a Clean Energy Future
We should be further along with the consumer adoption of renewable energy. Solar energy has long since emerged as the lowest cost per kWh power source, making it a key puzzle piece in our transition to clean energy. Added to that, the Inflation Reduction Act of 2022 was passed to significantly incentivize private investment into clean energy infrastructure and the domestic production of solar panels and battery storage.
Opportunity lies in front of us for solar and other iran whatsapp number data renewable energy sources to become a ubiquitous method for powering our lives – the very definition of the term “Utility.” A “New Utility” is exactly what we need in order to transition to a clean energy future.
Back in the 1800s, it only took a 5% adoption rate for electric lightbulbs to become the norm in American homes. Today, far less than 5% of American households are equipped with solar electricity.
Technology is key to unlocking the mass adoption of clean energy. There are many ways that energy intelligence data and the use of AI can accelerate the energy transition. AI modeling can illustrate where it is economically viable to deploy clean energy projects, reducing financial risk for investors and increasing the likelihood of project prioritization.