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The transition to a fully renewable energy grid requires better forecasting of demand at the low-voltage level to increase efficiency and ensure reliable control. However, high fluctuations and increasing electrification cause huge forecast …

This paper presents a literature review on the topic of Low Voltage (LV) load forecasting. It gives an overview of the approaches, core applications, datasets, trends, and challenges. Suggestions how to facilitate the continued improvement and advancement are given and a set of recommendations toward best practices are provided.

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.