Consumption Data

Consumption data analysis focuses on understanding and predicting how individuals and entities consume resources, ranging from electricity and water to goods and digital content. Current research emphasizes developing sophisticated predictive models, employing techniques like transformers, inverse optimization, and reinforcement learning, to capture complex consumption patterns and their underlying drivers, including macroeconomic factors and individual preferences. This work is crucial for optimizing resource allocation, improving demand response programs, personalizing services, and mitigating risks associated with misinformation spread and energy consumption. The insights gained are valuable across diverse sectors, from energy management and retail forecasting to personalized recommendations and policy development.