z = −1 + i nα = θ + 2πk f(x) = 3x − 2 z = r (cosθ + isinθ) z = r (cosθ + isinθ) ax + by + cz + d = 0 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR}

Making forecasts to optimize the electricity grid management

Terna is one of the European leaders in the management of electricity transmission grids. Its mission is to keep the power grid always balanced and in optimal operating conditions. Our collaboration has resulted in an algorithm capable of producing accurate forecasts. These predictions support operators in making prompt and effective grid management decisions.

  • Description and benefits
Early action
More reliable decisions
Interpretable forecasts

Find more on this case study

Contact us
z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 z = r (cosθ + isinθ) ax + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) 2x + 2y + z + 4t = 0 [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n z = −1 + i nα = θ + 2πk

Long-term forecasts with machine learning