ExaWizards, a Tokyo-based AI company, has deployed an AI model to E-Flow (a subsidiary of Kansai Electric Power) that optimizes the trading of grid-connected battery power across multiple Japanese electricity markets. The system analyzes operational, demand, and market-forecast data daily to generate bidding strategies that adapt to market changes. E-Flow expects the AI to boost revenue for battery owners, improve power grid stability, and accelerate renewable energy integration toward carbon-reduction goals.
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ExaWizards has deployed an AI model to E-Flow that calculates optimal trading conditions for grid-connected batteries. The system has begun operating across multiple power markets, with plans to eventually operate in three markets total, using big data on power operations to generate daily market bidding proposals.
Why it matters
E-Flow manages distributed energy resources (batteries, renewable generation, and customer equipment) across Japan's power system. As E-Flow expanded to trade in multiple power markets, the number of conditions to consider grew so dramatically that AI-driven bidding planning became essential. The AI is expected to improve operating revenue for battery owners, help avoid blackouts, and support decarbonization through better renewable energy balancing.
What to watch
E-Flow plans to expand AI use beyond grid batteries to other energy resources after establishing the battery model. The company is aiming for 1 GW of operating capacity in grid-connected batteries by 2030.
ExaWizards and Kansai Electric Power have been researching AI applications for distributed energy resource management since 2021, and this deployment marks the first real-world rollout of that work. E-Flow, established in April 2023 as Kansai Electric's wholly owned subsidiary, began managing dispersed energy resources in July 2023 and has now integrated ExaWizards' AI technology. The company manages batteries, renewable generation equipment, and customer-owned devices through its K-VIPs+ platform, handling daily market bids and submissions on behalf of multiple asset owners.
The expansion from single-market to multi-market operations created a complexity problem: with multiple power markets now in play, the number of trading conditions to optimize exploded, making manual or rule-based approaches impractical. This is why AI-driven bidding has become essential. ExaWizards designed algorithms to help the AI understand complex power market rules and dynamics, enabling it to produce optimal trading strategies adapted to each market's behavior.
The expected benefits span financial, operational, and environmental dimensions. Battery owners should see higher operating revenue; the grid gains stability and blackout protection from active battery management; and renewable energy can be better balanced against variable supply, supporting decarbonization. E-Flow intends to expand the AI model to other distributed energy resources beyond batteries after establishing the battery use case, while targeting 1 GW of grid-battery operating capacity by 2030.
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