📄️ Data Analystics
The process of examining, cleaning, and modeling data to extract insights, identify patterns, and support decision-making.
📄️ Big Data
A term for large and complex data sets that require advanced processing techniques to extract meaningful insights.
📄️ Data Lake
A centralized repository for storing raw and unstructured data at scale, often used in IoT applications to store and analyze large volumes of diverse data.
📄️ Demand Response
A strategy in smart grids and energy management systems that adjusts energy consumption patterns in response to changes in supply or pricing, often using IoT devices for monitoring and control.
📄️ Digital Twin
A virtual representation of a physical object or system, used to simulate and analyze real-world scenarios, enabling improved decision-making and optimization.
📄️ Long Short-Term Memory (LSTM)
A type of recurrent neural network (RNN) architecture used in deep learning, often applied to time-series data from IoT devices for prediction and anomaly detection.
📄️ Predictive Maintenance
The use of IoT devices, sensors, and data analytics to monitor the condition of equipment and predict potential failures, enabling proactive maintenance and reduced downtime.
📄️ Sensor Fusion
The process of combining data from multiple IoT sensors to create a more accurate and comprehensive understanding of the environment, improving decision-making and system performance.
📄️ TimeSeries Data
A sequence of data points collected and stored over time, often used in IoT systems for trend analysis, forecasting, and anomaly detection.