RAMP: stochastic simulation of user-driven energy demand time series

• DOI: 10.21105/joss.06418
• Publication Date: 2024-06-12T14:43:55Z
• Authors: Francesco Lombardi; Pierre-François Duc; Mohammad Amin Tah...; Claudia Sanchez-S...; Sarah Eckhoff; Maria C. G. Hart; Francesco Sanvito; Gregory Ireland; Sergio Balderrama; Johann Kraft; Gokarna Dhungel; Sylvain Quoilin
• Keywords: energy demand

The urgency of the energy transition is leading to a rapid evolution system design worldwide.In areas with widespread infrastructure, existing electricity, heat and mobility networks are being re-designed for carbon neutrality increasingly interconnected.In where infrastructure limited, instead, systems rapidly expanded ensure access all.In both cases, re-designing expanding in these directions requires information on future user behaviour associated demand, yet this type data often unavailable.In fact, historical either entirely missing or poorly representative within transitioning systems.This results reliance inadequate demand data, which affects its resilience evolution.