The transition to a fully renewable energy grid requires better forecasting of demand at the low-voltage level. However, high fluctuations and increasing electrification cause huge forecast errors with traditional point estimates. Probabilistic load …
A building's structural mass does provide inherent thermal storage capabilities. Within this work, a mathematical model of a building inertia thermal energy storage (BITES) is proposed to allow integration into optimized smart grid control for real-world applications.
With the decentralization of the energy supply, district energy management with sector-coupling gains importance, as we urge towards a fast reduction of greenhouse gas emissions and aim at more efficient energy usage. By jointly optimizing and …
What makes a household-level short-term load forecast "good"? Individual household load profiles are intermittent, as distinct peaks correspond to specific activities in the household. Using traditional point-wise error metrics to assess …
Lowly aggregated load profiles such as of individual households or buildings are more fluctuating and relative forecast errors are comparatively high. Therefore, the prevalent point forecasts are not sufficiently capable of optimally capturing …
This paper introduces an approximation of the permutation invariant (LPI) sample mean to average smart meter load profiles, with applications in load forecasting and clustering.
Household load profiles are more fluctuating than higher aggregated load profiles and relative forecast errors are comparatively high. To handle this, adjusted error metric and average concepts have been proposed to be used to obtain more suitable …
Low aggregations of electric load profiles are more fluctuating, relative forecast errors are comparatively high, and it has been shown that different forecast models and feature configurations may be best suitable for specific households or …
Replacing fossil-fueled vehicles with electric vehicles (EVs) poses new challenges for public distribution networks. In order to accommodate these new loads in current grid extension planning, distribution system operators (DSOs) have to consider …