Short-Term Energy Pattern Detection of Manufacturing Machines With In-Memory Databases - A Case Study
Today's energy companies mainly use generalized demand sets to predict the required amount of energy of their customers on a high aggregation level. This is sufficient in an energy consumption oriented power grid, having enough resources to produce and transmit the requested and produced amount of energy. With the increasing amount of renewable energy sources, the power grid evolves from a purely consumption controlled supply network to a production controlled grid. In that environment the need for detailed short term energy demand predictions increases.