RAG Chatbot

Retrieval-augmented assistant workspace with citations, confidence, and audit hooks.

Assistant workspace
Model: MOBILOITTE-RAG-03Policy: RAGLLM endpoint: approved

Local demo: messages are simulated client-side with keyword-based retrieval panels — no API calls.

Conversation

What are the latest AI models for energy forecasting that align with a regulated utility radar?

Demo Analyst · 31/08/2026, 9:34 AM

Structured answer: 1) GridForecastNet — transformer-based short-term electricity demand forecasting with documented utility benchmarks. 2) LoadSense AI — mature attention model for distribution-level load shapes and seasonal drivers. 3) DemandSense Transformer — hierarchical model for generation scheduling with peak characterization. Each item is scored for utility relevance, maturity, and source trustworthiness within the Mobiloitte AI Radar index.

Confidence: 94% (retrieval agreement + model self-check)

Source references

  • Mobiloitte AI Radar Index / GridForecastNet
  • Mobiloitte AI Radar Index / LoadSense AI
  • Mobiloitte AI Radar Index / DemandSense Transformer

Related technologies

SolarYield Predictor · AnomalyGuard · TransformerGrid

Assistant workspace · 31/08/2026, 9:36 AM

Which AI technologies are most relevant to smart grid optimization right now?

Demo Analyst · 31/08/2026, 9:37 AM

Structured answer: - GridForecastNet and LoadSense AI lead for operational forecasting and congestion-aware planning. - TransformerGrid is emerging for OPF-style optimization research with rising citation velocity. - AnomalyGuard supports real-time anomaly workflows complementary to optimization stacks. Confidence reflects retrieval agreement across GitHub README signals, model cards, and arXiv abstracts.

Confidence: 91% (retrieval agreement + model self-check)

Source references

  • Radar snapshot 2026-W18
  • Utility relevance engine v2.4

Related technologies

GridEdge Optimizer · GridStability GNN · SubstationVision

Assistant workspace · 31/08/2026, 9:39 AM

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Disclaimer: Responses are generated using retrieved platform data and approved LLM endpoints.