DEAlgopoly is a data science company that focuses on large scale forecasting problems in energy and finance. Algopoly helps companies integrate algorithms in their decision making processes.
Wind and Solar Power Production Forecast
Tendency towards engaging more Renewable Energy (RE) resources are increasing. While the conventional power plants have certain production plans, RE plants have fluctuating production patterns. This makes is considerably hard to forecast the production.
Forecasting the production of renewable energy plants is crucial in order to main a healthy grid and ensure profitable operations. RE power production heavily relies on weather conditions. However casual weather forecasts barely give enough information about micro-climatic conditions.
We created our own weather forecasting models with existing data feeds and these models can forecast the micro-climatic conditions on a granular level. Thus, our deep learning algoritms trained by retrospective data can forecast the production accurately.
Electricity Load & Demand Forecasting
System operators and distribution networks need to accurately identify the amount of electricity a specific region will consume. National energy market based on demand and supply is structured according to these identifications.
Forecasting the electricity that will be consumed is not only legislated by regulations, but also is necessary for running profitable operations. Energy produced and energy consumed should be in balance at a national level. Inaccurate forecasts cause unit cost penalties.
With our extensive know-how in forecasting, we deploy machine-learning models that analyses the time-series and gives accurate forecasts. Results are offered in our cloud-hosted SaaS interface.