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Before we share the news, a quick recap: the Optimizer from BeePlanet is the BHive® layer that analyzes real-time electricity market prices (OMIE), consumption, and photovoltaic generation at a facility to decide every 15 minutes when to charge and discharge the battery. Its goal is to maximize the economic value of each cycle: arbitrage, self-consumption, peak shaving, and participation in balancing services. It is the layer that sits on top of the BHive® local control, and its intelligence comes from years of engineering applied to real-world projects (not from a generic AI model).
Spain has taken a game-changing regulatory step for energy storage. In May 2026, the European Commission approved the Spanish capacity mechanism, endowed with 9 billion euros through 2036, which compensates facilities for being available when the system needs them. For a battery, this means being able to combine three revenue streams at once:
What the industry now calls revenue stacking. Taking advantage of this revenue stacking requires a battery optimizer capable of making increasingly precise decisions, and those decisions depend on the quality of the initial forecast.
The BHive® Optimizer now analyzes market prices, consumption patterns, and photovoltaic generation in real time to automatically determine the charge and discharge strategy for each installation. From now on, clients can also intervene directly in these forecasts: by dragging the points proposed by the model, they can manually adjust the expected consumption or photovoltaic generation curve for upcoming cycles.
No model, no matter how well-trained, has the insight of those who operate the facility every day. There are days when you know in advance that there will be a change in production machinery usage, or when a sudden weather forecast anticipates different photovoltaic generation than usual. In such cases, clients can feed that knowledge directly into the Optimizer, which immediately incorporates it into its arbitrage, peak shaving, and ancillary services strategy.
At BeePlanet, we don't talk about artificial intelligence when describing the BHive® Optimizer. We talk about intelligence built from years of real-world operation, fine-tuned project by project by our engineering team. This new feature follows that same philosophy: instead of operators being limited to a static forecast, they can now adjust it based on their own site-specific knowledge. Most optimization tools on the market treat forecasts as fixed data; we believe that client expertise is just as valuable as the model itself, and that a great battery optimizer must be able to listen to it.
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