Energy Supply Optimization
In an energy grid, energy consumers are engaged with various types of energy supplying, trading, and storage components such as substations, batteries, windfarms and solar panels, micro-turbines, as well as demand response bids, to meet their respective demands and minimize the cost of energy commitment. To do so, the grid operator must determine how much energy each type of the resources should commit over a time frame, given the prices of soliciting different types of resources and the capacities and the physical characteristics of them.
HPC cluster deployed in the cloud
High performance computing (HPC) applications can scale to thousands of compute cores, extend on-premises big compute, or run as a 100% cloud native solution. This HPC solution including the head node, compute nodes, and storage nodes, runs in Azure with no hardware infrastructure to maintain.