The paper provides a detailed introduction to load forecasting in distribution networks, highlighting the importance of load forecasting and the issues encountered. It compares traditional and modern load forecasting methods and explores intelligent optimization scheduling strategies for distribution networks based on load forecasting, such as the use of intelligent algorithms, constraint conditions, and objective optimization. Through case studies, the effectiveness of the intelligent optimization scheduling methods for distribution networks is verified. Based on current research results, the paper looks forward to the future of intelligent optimization scheduling for distribution networks, believing that with the integration and advancement of modern forecasting technologies and intelligent optimization algorithms, distribution network scheduling efficiency will be further improved, while also ensuring reliability. This approach is expected to open a new path for the intelligent development of the power system in China.