Join us in this session dedicated to unraveling the complexities of time-series data analysis, bridging the gap between temporal and spatial dimensions. The focus will revolve around understanding data patterns over time and space, revealing historical insights that can be independently scaled and aggregated. In this collaborative forum, we aim to explore and comprehend the diverse approaches employed by utilities in handling time-series data. Come be a part of the conversation, sharing your experiences, preferred tools, unique data sets, and vendor insights that contribute to the ever-evolving landscape of time-series data analytics.