Green Energy Companies Network

Green Energy Companies Network -  The US Energy Information Agency (EIA) defines renewable energy as an energy source that regenerates naturally, such as solar or wind. In contrast, fossil fuels are considered finite. The EIA reports that in 2016, 10 percent of US energy consumption was sourced from renewable energy sources. This is roughly equivalent to "10.2 quadrillion British thermal units (Btu) -1 quadrillion. 1 is after number 15 zeros".

Despite the increasing use of renewable energy as the leading global source of electricity in 2015, there are still persistent barriers to widespread implementation related to policy and technology. Researchers and companies are exploring how artificial intelligence can help improve the access and efficiency of renewable energy technology.

In this article, we present examples of renewable energy technologies that incorporate AI. We cover three major categories of renewable energy that should be of interest to business leaders in the green energy sector:

Energy Forecasting - Industry data is used to train AI algorithms to help make accurate forecasts, inform power supply and demand

Energy efficiency - AI is used to track and optimize energy efficiency

Energy Accessibility - AI is used to model utility cost savings and provide recommendations for smart home investment

For each application, we provide a company overview, where the platform interprets function and result data and/or where available. Each example is organized under a sub-heading that serves as a quick reference when navigating through the article.

The company allegedly leverages data analytics to identify "smart home improvement projects" based on unique features and energy use in the customer's home. PowerScout's algorithm appears to match clients to potential hardware installation providers in the online marketplace format to ensure competitive rates.


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