EnergyOracle: Multi-Modal Adaptive Foundation Models for Intelligent Energy Prediction and Anomaly Identification

Abstract

Even though building energy consumption causes one-third of global emissions, current prediction technologies cannot provide the accurate, actionable information necessary for effective decarbonization. Existing techniques either provide black-box forecasts operators cannot respond to or are not generalizable across building types. By combining several Time Series Foundation Models (TSFMs) with physics-aware constraints and real-time building context sensitivity, our EnergyOracle introduces an Adaptive Multi-Modal Foundation Model Architecture (AMFMA) that revolutionizes short-term energy predictions.

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Core Innovation

Based on building type, weather, occupancy patterns, and operational state, EnergyOracle dynamically selects and combines forecasts from Chronos, TimesFM, and Lag-Llama instead of depending on a single TSFM. For every prediction horizon (15-minute to 24-hour), a context-aware routing system selects the optimal model, while physics-enhanced features incorporate:

• Thermal dynamics
• Occupancy-energy coupling
• Weather interactions

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Key Features

Intelligent Deployment

• Zero-shot deployment for new buildings without historical data requirements
• Context-aware model selection adapting to real-time building conditions

Advanced Anomaly Detection

• Graph-enhanced anomaly detection modeling building systems as interconnected networks
• Multi-scale temporal analysis identifying system-level failure patterns

Explainable Intelligence

• Explainable AI layer providing actionable insights and causal decomposition
• Transparent predictions enabling informed operational decision-making

Continuous Learning

• Self-improving digital twin that continuously adapts to building evolution
• Federated learning pipeline enabling cross-building knowledge sharing while preserving privacy

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Expected Impact

EnergyOracle delivers transformative results through intelligent building optimization:

Impact Category	Quantified Benefit
Energy Efficiency	15% energy savings through optimized load shifting
Predictive Maintenance	3-day advance equipment failure warnings
Peak Demand Management	30% reduction in peak demand charges
Renewable Integration	Seamless renewable energy optimization

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Transformative Vision

EnergyOracle transforms buildings into proactive energy savers from passive energy consumers. By giving building managers real-time operational value coupled with the velocity needed to actualize real-world decarbonization initiatives, our solution closes the essential space between precise prediction and actionable building management.

Through the fusion of cutting-edge foundation models, physics-informed intelligence, and explainable insights, EnergyOracle represents the next evolution in building energy management, where intelligence meets sustainability.

Built With

• aws/azure/gcp
• chronos
• git/github
• javascript
• lag-llama
• networkx
• python
• pytorchgeometric
• shap
• timesfm