Research on load forecasting methods considering multi-industry user datasets

In the context of economic expansion and elevated living standards, the imperative for power grids to maintain real-time balance and operational security has become increasingly critical. This research investigates the complexities and dynamics of medium- to long-term load forecasting within a multi-industry framework, highlighting the criticality of accurate forecasting for the strategic planning and sustainable evolution of power grids. The study underscores the importance of integrating industry-specific user datasets to enhance the precision of predictive models, thereby facilitating more informed decision-making in power grid development and the efficient integration of new energy resources.