Join us at booth #C7878 in the Central Hall
At Hitachi Energy, we help you generate and integrate reliable, green electricity – with a grid connection you can trust – while maximizing your revenues and optimizing operations with digital solutions and a lifetime partnership.
Through the power of connection, a sustainable future is in your control. From investments and generation to trading and consumption, we enable reliable, clean power across all markets. Whether it’s embedded deep within your operational infrastructure or bridging the most complex grid connections, our technologies, software, and solutions ensure optimal decisions in renewable energy across the asset life cycle, from planning to operating. We continuously enable the integration of solar, energy storage, and wind into more sustainable, flexible, and secure power systems.
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Don't miss our speaking sessions
The rapid growth of solar, microgrid, and battery storage systems has introduced new operational and market challenges for energy providers. Variability in generation, fluctuating demand, and increasing market volatility require more advanced, data-driven approaches to maximize asset performance and profitability. This poster presents an integrated solution that combines AI-powered forecasting with portfolio optimization, trading, and risk management platforms to enhance decision-making across renewable energy operations. By leveraging advanced analytics and machine learning models, operators can generate highly accurate forecasts for generation, load, and market prices, enabling proactive and informed strategies. The approach enables energy companies to maximize profitability across both short-term and long-term horizons by optimizing dispatch strategies and market participation. At the same time, it reduces exposure to market risk through improved visibility, scenario analysis, and dynamic response to changing conditions. Automated scheduling further streamlines operations, supporting efficient participation in both day-ahead and real-time markets. By integrating forecasting, optimization, and trading systems into a unified framework, this solution transforms operational complexity into a strategic advantage. It empowers organizations to improve efficiency, enhance resilience, and unlock new value from renewable energy portfolios—supporting a more reliable and sustainable energy future.
Artificial intelligence is driving an unprecedented demand for power, transforming energy availability into the primary constraint for data center growth. As utilities struggle to deliver new capacity fast enough, Battery Energy Storage Systems (BESS) are emerging as a strategic solution, not just for backup power, but for enabling faster deployment, enhancing grid connectivity, and maximizing the value of existing electrical infrastructure.
As Solar and BESS deployment accelerates, the challenge is shifting from simply bringing new capacity online to keeping it available, reliable, and performing over time. Critical electrical infrastructure, from transformers and switchgear to substations, plays a central role in that performance. This session explores how asset data, domain expertise and AI can enable a more predictive approach to lifecycle management, helping operators identify emerging risks earlier, make better maintenance decisions and reduce unplanned outages. HMAX Energy brings these capabilities together to move from reactive maintenance toward a more proactive, long-term service partnership.
The rapid growth of solar, microgrid, and battery storage systems has introduced new operational and market challenges for energy providers. Variability in generation, fluctuating demand, and increasing market volatility require more advanced, data-driven approaches to maximize asset performance and profitability. This poster presents an integrated solution that combines AI-powered forecasting with portfolio optimization, trading, and risk management platforms to enhance decision-making across renewable energy operations. By leveraging advanced analytics and machine learning models, operators can generate highly accurate forecasts for generation, load, and market prices, enabling proactive and informed strategies. The approach enables energy companies to maximize profitability across both short-term and long-term horizons by optimizing dispatch strategies and market participation. At the same time, it reduces exposure to market risk through improved visibility, scenario analysis, and dynamic response to changing conditions. Automated scheduling further streamlines operations, supporting efficient participation in both day-ahead and real-time markets. By integrating forecasting, optimization, and trading systems into a unified framework, this solution transforms operational complexity into a strategic advantage. It empowers organizations to improve efficiency, enhance resilience, and unlock new value from renewable energy portfolios—supporting a more reliable and sustainable energy future.
