Optimize value of flexible assets
Once you have all your assets connected to flextools, and we have some historic values we predict the expected flexibility for an asset or a portfolio of assets. We use Microsoft Azure Auto ML framework, and combine historical values with weather forecast to best estimate the flexibility. We use this forecast to create orders and bids to the markets and to create a baseline of what the consumption would be if we were not to dispatch an asset. This baseline is a requirement from several markets to verify that we have delivered the flexibility after an activation.