Powering GenAI with Flexible Smarter Datacenters

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Transformer (GPT) and GenAI Backbone. Ex: Power Demand, Renewable Generation, Market Prices. 3x-15x better forecast vs. benchmark.
Cloud Forecasting
Smarter Forecasts - Better Decisions
Example : Accurate forecasting of highly fluctuating AI training and inference workloads in data centers
Datacenter power surge/drops solutions, Multi-objective Optimization, Dashboard Visualizations, Graph Analytics for Fault Detection. Mission-critical, Grid Flexibility, Reduced Downtime.
Cloud Power management
Taming Power Surges, Preventing Drops
Boost operational efficiency with multi-objective optimization for mission-critical loads.
Datacenter flexibility in real time. Figure reference- Semianalysis and Google.
Cloud/AI
Smarter Energy: Resiliency, Demand Response, and Peak Efficiency in One Platform.
All-in-One Operational Intelligence with our AI Tools.

Relyion’s GenAI and ML powered forecasting solutions unlocks value of power production and utilization assets for grid operators, energy asset owners and end users.

Our solutions span the full energy spectrum—from traditional power to renewables like solar, wind, and battery storage—offering a flexible, intelligent, and scalable platform that optimizes performance.

We have built solutions across the energy ecosystem, including AI forecasting and Energy Management Systems (EMS).

Tansformer Based AI Forecasting
AI Load & Characterization
Power Demand
Market Prices & Cutomer KPIs
Grid & Local Power Generation
AI Energy Management System
Datacenter Power Management
Uncompromised Compute Performance
Time Resolution- Days to ms
Solar, Battery, Supercapacitor Integration
Peak Shaving
Backup Power and Resiliency

Datacenter Flexibility

Introduction to Datacenter Power Flexibility Needs

As datacenters become major, fast-changing energy consumers, their fluctuating AI-driven power demands strain grid stability. Power flexibility turns this challenge into opportunity—helping datacenters support the grid, lower costs, and expand AI infrastructure responsibly. Image Source: McKinsey & Company

Whitepaper: Unlocking Gigawatt-Scale Opportunity. How datacenter flexibility creates value for grids and growth for operators

AI datacenters are pushing the grid to its limits with massive, rapid power swings. Our case study shows how Relyion transforms this volatility into gigawatt-scale flexibility—driving value for utilities and growth for operators. Don’t let the grid limit growth—explore the solution.
Case Studies

Forecasting

Transformer Model. Natural Gas Futures Forecasting

Transformer Model. Natural Gas Futures Forecasting

Transformer-based AI is redefining natural gas futures forecasting, delivering accuracy and adaptability far beyond traditional models. By capturing intricate market dynamics, it provides energy systems with unprecedented precision, reliability, and foresight.
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Industrial Load (Domain Specific Transformer Model)

Industrial Load (Domain Specific Transformer Model)

Next-gen AI is transforming forecasting, achieving leaps in accuracy beyond traditional models. By mastering complex data patterns, these technologies are powering energy systems with unmatched precision, reliability, and intelligence.
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Grocery Store Load (Domain Specific Transformer Model)

Grocery Store Load (Domain Specific Transformer Model)

Explore how advanced Transformer-based AI is setting a new benchmark in forecasting, delivering far greater accuracy than conventional techniques. By revolutionizing the way sequential data is predicted, these innovations are enabling energy systems that are more precise, dependable, and future-ready.
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Solar Farm Power Production (Domain Specific Transformer Model)

Solar Farm Power Production (Domain Specific Transformer Model)

Discover how next-generation Transformer models are redefining forecasting accuracy, outperforming traditional methods by orders of magnitude. These breakthroughs in sequential data prediction are unlocking new levels of precision for smarter, more reliable energy systems.
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Solar Farm Power Generation

Solar Farm Power Generation

Learn how advanced forecasting with AI and machine learning is setting new benchmarks in solar energy accuracy — optimizing grid reliability, minimizing losses, and driving smarter energy decisions.
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Locational Marginal Prices (LMP) CAISO

Locational Marginal Prices (LMP) CAISO

Explore how intelligent price forecasting is bridging critical market data gaps. With AI-driven precision, energy providers gain the insights needed to improve trading confidence, reduce volatility, and strengthen grid economics.
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PJM (Load)

PJM (Load)

Discover how cutting-edge AI forecasting is redefining energy market accuracy. By enhancing Day-Ahead predictions, smart solutions are helping utilities reduce uncertainty, improve planning, and unlock significant operational gains.
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ERCOT (Load)

ERCOT (Load)

See how next-gen forecasting is transforming energy markets. By leveraging AI to dramatically reduce error rates, utilities are enhancing reliability, optimizing supply planning, and unlocking substantial energy savings.
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PG&E CAISO (Load)

PG&E CAISO (Load)

AI-powered forecasting is redefining grid planning. By consistently outperforming legacy benchmarks, smart models are enabling more accurate demand prediction, improved operational efficiency, and stronger energy market performance.
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Henry Hub Forecasting (Natural Gas Price)

Henry Hub Forecasting (Natural Gas Price)

Accurate price forecasting is key to managing market volatility. With advanced AI models, stakeholders can anticipate natural gas price movements more reliably — improving trading strategies, budgeting, and risk management.
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Energy Management System (EMS)

Airport Ground Support (BESS)

Airport Ground Support (BESS)

Smart energy management unlocks tangible savings. With AI-enabled Energy Management Systems (EMS), airport ground storage and EV charging operations can substantially lower demand charges, optimize peak load usage, and achieve rapid ROI — transforming energy costs into a strategic business asset.
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Grocery Store (Solar + Storage)

Grocery Store (Solar + Storage)

AI-powered energy management turns electricity from a cost burden into a profit driver. By reducing demand charges, optimizing peak shaving, and delivering 36% higher returns than traditional EMS, businesses achieve faster payback and smarter operations. Unlock real ROI and make your energy strategy a competitive advantage with AI-driven insights.
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Grocery Store (BESS)

Grocery Store (BESS)

Smarter energy management drives real ROI. With AI-powered EMS, businesses can dramatically reduce demand charges, optimize peak shaving, and achieve payback in just 3 years — transforming energy from a cost center into a strategic asset.
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Resource Degradation Management

Smarter Batteries- Longer Life

Smarter Batteries- Longer Life

Extending the lifespan of lithium-ion batteries — this study demonstrates how AI-powered BMS can unlock 10+ years of added battery life, driving smarter, safer, and more sustainable energy storage solutions while reducing costs and environmental impact.
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Energy Intelligence in Action

Turn data into performance with our solar and battery dashboard

Experience a smarter way to manage solar and battery systems. Our intuitive dashboard provides real-time monitoring, dynamic visualizations, and deep insights into energy generation, efficiency, and weather impact—helping you boost performance, reduce costs, and improve reliability.
Watch Video
Go to Dashboard
Learn more

Adaptive. Resilient. Future-Ready.

contactus@relyionenergy.com
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