Predictive analytics

Predictive analytics is the process of using data, statistical algorithms and machine learning techniques to predict future events based on historical data. The “Secure IoT Telemetry Data Collection and Processing Platform” uses predictive analytics to prevent accidents, optimize processes, and improve efficiency.

Main tasks of predictive analytics

Predicting equipment failures

• Goal: Predicting the probability of equipment failure based on equipment condition data.
• Example: Analyzing temperature, humidity, and other parameters to predict wear and tear.

Resource Consumption Optimization

• Purpose: Predicting resource consumption (gas, electricity) to optimize distribution.
• Example: Peak load forecasting and resource scheduling.

Demand Forecasting

• Purpose: Predicting demand for services or resources.
• Example: Forecasting electricity consumption based on season and weather conditions.