Computational approach for spatiotemporal modelling of heating loads using AMR and other external data

Different registries of the society are constantly opening for free usage and can be utilized to enhance spatial load modelling needed in strategic planning of electricity distribution networks. The main innovation of this paper is that of demonstrating possibilities of public geographic data, namely socio-economic, building and meteorological data, in spatiotemporal modelling of controllable heating loads. In the paper, the computational approach based on fixed spatial computation/planning units forming a grid is proposed. The benefit of the approach is on enhanced computational performance and integrity to public sector region level data, related scenarios, analyses and models. In the next stage, the approach can be linked with small-scale generation and local energy storage models in order to obtain overall power demands.