Elastic Energy

Elastic Energy fills a clear gap between traditional SCADA systems (rigid, no ML) and generic AI platforms (too broad, no energy context). We've seen similar tools like GridAI or AutoGrid, but Elastic Energy differentiates with its 'no-code forecasting studio' that lets operators tweak models without data scientists. The real power is in the automated anomaly detection: it caught a failing transformer 48 hours before it blew in one pilot. But be warned—it requires clean AMI data feeds and a dedicated integration effort for legacy meters. If your utility is still on manual meter reads, this isn't for you. For modern utilities with smart meters and a push toward DERMS, this is a strong contender. The pricing is opaque—likely enterprise—so expect a sales-heavy process. Best paired with a SCADA upgrade or in tandem with a DERMS platform.

Elastic Energy is a SaaS platform that leverages AI and machine learning to provide utilities, grid operators, and energy retailers with granular load forecasting, real-time anomaly detection, and automated demand response optimization. Built for energy professionals managing distributed energy resources (DERs), the platform ingests smart meter data, weather feeds, and market signals to produce sub-hourly predictions up to 14 days ahead. Key features include a drag-and-drop forecasting studio, automated model retraining, and a customizable dashboard for monitoring grid health. Unlike generic time-series tools, Elastic Energy is purpose-built for energy domain-specific challenges, such as handling meter failures, EV charging patterns, and solar intermittency.