CENTS introduces a novel approach for generating high-fidelity synthetic electricity consumption data to overcome the challenges of data scarcity in the energy sector.

• Leverages foundation model techniques to create realistic time series data for unseen scenarios
• Addresses the critical gap of limited high-quality data in smart grid applications
• Enables better testing and development of energy management systems using synthetic but realistic data
• Provides a pathway for energy engineers to model rare events without waiting for them to occur

This research significantly advances engineering capabilities in energy systems by allowing planners and grid operators to simulate diverse consumption patterns, test resilience scenarios, and design more robust smart grid solutions.

CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios