Ascend Analytics SmartBidder Passes 5.2 GW of Battery Storage Under Management

Sep 1, 2026
Ascend Analytics says SmartBidder now optimizes more than 5.2 GW of operating battery storage capacity across ERCOT, CAISO and PJM.
Ascend Analytics SmartBidder Passes 5.2 GW of Battery Storage Under Management

Ascend Analytics said in a press release that its SmartBidder platform now optimizes more than 5.2 GW of operating battery energy storage capacity in U.S. wholesale power markets. The portfolio covers more than 30 customers, with about 4 GW in ERCOT, 1 GW in CAISO and 200 MW in PJM.

The company said it passed 5 GW in the second quarter of 2026 after adding assets for California Community Power and San Diego Community Power. Those organizations have contracted storage capacity to serve loads they manage directly or for their members.

SmartBidder supports batteries ranging from 3 MW to 300 MW, with durations from one hour to eight hours. The platform is used for standalone assets, hybrid resources and storage colocated with wind and solar facilities.

Ascend said SmartBidder combines short term price forecasting with automated bid optimization for energy and ancillary services markets. The system manages state of charge, degradation and contractual limits across day ahead and live markets.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, Industrial AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Industrial AI Weekly

The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.