Big data and energy
Renewable energy is another important grid component that can benefit from Big Data analytics. In the SMART grid, wind power and solar power are two major renewable energy power generation methods. Yet, weather conditions significantly affect their outputs. Through using data analytics, renewable energy power generation forecasting will be more accurate and efficient. All based on weather data analysis. The integration of energy production, consumption data, GIS data, and the weather data. Examples, temperature, atmospheric pressure, humidity, cloud cover, wind speed, and wind direction. Can support the sites selection of renewable power generation devices. Thereby improving power output and energy efficiency. GIS data is another aspect of Big Data analytics. It includes geographical information from satellite imagery that aids with spatial planning. By analysing topography, location to water and solar irradiation etc