- Digital grid technologies are needed to address challenges from increasing distributed renewable energy resources, such as voltage regulation impacts and changes to network reliability and protection. - Solutions include active network management, virtual power plants, adaptive protection schemes, and developing the neural grid of the future through grid digitalization. - A digital twin is a dynamic digital model of a real-world asset that combines mathematical and statistical models with machine learning and real-time data from sensors to enable simulation and forecasting over the asset's lifecycle. - Digital twins, along with technologies like distributed intelligence, two-way communications, and real-time data analytics can help develop more autonomous, self-optimizing neural grids of the future.