Now asw:maximus can yield assessment for power generation sites based on meteorological and real plant's data.

The ecological awareness is on the rise, and so is the revenue stemming from renewable power sources. According to Allied Market Research, the global renewable energy market was valued at $928.0 Billion in 2017, and is expected to reach $1,512.3 Billion by 2025, registering a CAGR of 6.1% from 2018 to 2025.

Like any business, the renewable energy business needs optimization technology to fully maximize efficiency, productivity, and performance of its processes. The most efficient is the Artificial Intelligence machine learning. Why? – Because AI doesn’t only give your predictions of the future, but becomes better at predicting the future as time goes by, as it learns from historic data. More days of data mean more data - more data means better prediction. Better prediction every year becomes extra revenue, as your resources get optimized.

The methodology of solar production forecasting is simplified for general audience: AI machine learning algorithm that uses

1) The weather report and weather history of a region (along with sun intensity, angle, etc.) 

2) Historic data of a Power Plant 

In essence the asw:maximus AI uses data it has on renewable energy plants such as solar, and creates a prediction the best location according to its potential of solar power production. The great thing about this AI is that it can offer you numeric predictions, so that you can chose you power plant exactly according to your plans about budget, needed power amount, or any other plan upon request. Alongside giving predictions of potential power plants, it also keeps an eye on the old power plants. By monitoring the electricity usage of every individual user, it gives predictions of exact amount of energy needed for a particular day. That way you are taking care of your current and future business at the same time.