Data Collection and Forecasting
Project scope
Categories
Data analysis Data modelling DatabasesSkills
data modeling forecastingProject name: Data Collection and Forecasting
Part 1:
路 Identify the data source: Solar, wind generation, New York state daily energy demand
路 Collect: Create scrapping tool to automatically download/copy data.
路 Process: Check data files for any errors or blank spaces and clean-up to make it ready to be stored in database
路 Store: Scrapping tool to save the improved data in the cloud database
Part 2
路 Forecasting: Define/build the data model(qualitative) preferably stochastic or neural
路 Predictive/Corrective analysis: Define corrective measures to correct the forecasting using historic data and past forecasting with the model.
Part 3
路 Create a report comparing the forecast and realized values.
路 Correct the model to achieve 90% accuracy for weekday and weekend data.
Solv4x directors will mentor the students to complete the project. We can meet regularly for any clarification needed.
About the company
Solv4x is a female founded clean-tech firm that focuses on creating and providing intelligent problem-solving AI solutions in field of Energy. Our leadership is a niche team of professionals with decades of industry experience in developing cutting edge products. We make products to create a smart, economical and reliable power system.
Our mission is to aid the adoption of EVs keeping the electric grid robust, reduce the greenhouse gas emissions and encourage renewable integration. Our designs are futurist to adapt to V2G and autonomous driving.