Data-driven optimization of multi-Source District heating systems based on load forecasting and coordinated control

Key Points

• Optimization techniques enhance district heating efficiency, enabling better resource management across various sources.
• Key evidence shows a potential reduction in energy waste by coordinating sources using load forecasting methodologies.
• Analysis includes various scenarios for multi-source district heating, focusing on predictive modeling for effective control.
• These methods may enable broader applications in energy systems, underscoring the need for further validation in real-world settings.