We are two friends living on opposite coasts (Brooklyn, New York and Santa Monica, California) that share a passion for living a minimal, zero waste lifestyle and on a mission to help others do the same.
Harper. Lives in Brooklyn with a +1. Sassy pup. Matcha. Wine. Whiskey. Cheese. Proscuitto.
Charley. Lives in Los Angeles with a +1. Doofy pup. Coffee. Wine. Whiskey. Cheese. Pasta.
Implements standardized algorithms (like the BL01 methodology) that account for differences between working days and weekends.
Before P376, energy providers were required to submit a , which is a forecast of exactly how much energy they intended to generate or consume. For large power stations, this is straightforward. However, for "Virtual Lead Parties" (VLPs) managing many small household or business assets, predicting a precise baseline is extremely difficult. However, for "Virtual Lead Parties" (VLPs) managing many
Providers still submit an FPN to National Grid (NGESO) so the grid knows what to expect in real-time. The Solution: Decoupling Dispatch and Settlement Instead of
If the FPN was inaccurate, these providers could face financial penalties for "non-delivery," even if they successfully delivered the requested energy service. The Solution: Decoupling Dispatch and Settlement this is straightforward.
Instead of using that potentially inaccurate FPN, Elexon now uses a Baselining Methodology . This looks at a site’s historical behavior to calculate what its energy flow would have been without the intervention, ensuring more accurate compensation. Key Features of P376
P376 solves this by "decoupling" the data used for grid instructions from the data used for payment.
