High-resolution synthetic residential multi-energy load profiles under electrification scenarios in New Zealand and Germany

Abstract Understanding current and future residential energy demand is crucial for energy system planning and demand-side management (DSM). In this database, we generate high-resolution (1 min) residential multi-energy load profiles for Auckland and Christchurch (New Zealand) and Oldenburg and Karlsruhe (Germany). We use residential load simulator, a stochastic bottom-up tool, to simulate household electricity and heating demand by aggregating individual appliance consumption based on occupant behaviour and statistical data. Based on projected electrification trends, we simulate future energy demand scenarios, by integrating electric vehicle adoption and electrification of space heating. The resulting dataset provides valuable insights into how residential load profiles may evolve. The data can be used by researchers and urban planners as inputs into energy capacity expansion planning models, grid stability analyses, and DSM strategies.