Product overview

LAPLACE Core™ + STEWARD™ = Forecast × Decide × Execute

We make market price signals not only visible but actionable and reconcilable end to end.

Forecast engine

LAPLACE Core™ turns volatility into measurable foresight.

Strategy execution

STEWARD™ delivers bids, actions and reconciliation with guardrails.

LAPLACE Core™Insight · blue-violet
STEWARD™Execution · blue-green
孔明™

Forecast engine for the spot era

See shifts in load, renewables and price ahead of time; translate volatility into reliable forecasts so trading and dispatch stay confident.

How it works

Hover or focus to explore

Forecast demo

Toggle day/week to inspect forecast points, P90/P95 intervals and actuals; hover for error and coverage.

Rolling forecast with intervals
Forecast bands
P90/P95 band tighteningt →
View sample data

What we forecast

  • Load / net load
  • Renewables
  • Zonal / nodal prices
  • Congestion risk

Methods

  • Transformer/TCN fusion
  • GNN topology encoding
  • Diffusion scenario generation

Uncertainty

  • Quantile regression
  • Ensemble / MC Dropout
  • Conformal coverage

Metrics

  • WAPE · MAE · RMSE
  • Coverage P90/P95
  • Interval width
  • Extreme weather robustness

Explainability

  • SHAP / attention
  • Scenario comparisons
  • Error attribution

Integration

  • API / batch inference
  • Low-latency online serving
  • Rolling hot updates
灵枢™

Execution platform for spot trading & dispatch

Turn forecasts into playbooks, bids and instructions. Every step becomes executable, settleable and reviewable.

How “seeing” becomes action

Hover or focus to explore

Strategy demo

Switch buyer/seller to visualise bid curves, fulfilment bands and deviation cost estimates with tooltips.

Procurement curve + cost band
Strategy stack
Fulfilment guardrailst →
View sample strategy

Buyer playbooks

  • Procurement / top-ups
  • Peak shifting & price avoidance
  • Hedging support
  • Billing-window friendly plans

Seller playbooks

  • Bid/offer design
  • Dispatch scheduling
  • Storage arbitrage
  • Ancillary service coupling

Constraints internalised

  • Caps / deviation / settlement
  • SOC / power / thermal limits
  • Flow / outage rules

Risk guardrails

  • VaR / CVaR
  • Max drawdown
  • Failed-trade rate
  • Exception rollback

Execution links

  • Market hub APIs
  • EMS / AGC commands
  • Ledger reconciliation / A-B

Online learning

  • Hot updates
  • Provincial parameterisation
  • Drift monitoring (KL / PSI)
Platform architecture

Platform architecture

Data → Forecast (Core) → Strategy (STEWARD) → Execution (market / EMS / AGC) → Evaluation (KPI / A-B / attribution) → Retrain.

Data

Multi-source ingestion, governance and feature services.

Forecast

LAPLACE Core™ delivers calibrated point/interval/scenario outputs.

Strategy

STEWARD™ optimises decisions under objectives and constraints.

Execution

Submit bids, dispatch commands and receive receipts.

Evaluation

Dashboards, A/B, attribution and retraining loop.

KPI

KPI board

Spot-native metrics with hover definitions.

Forecast

  • Day-ahead price MAE ↓
  • Net-load WAPE ↓
  • Coverage P90/P95 proven
  • Interval width convergence

Bidding & clearing

  • Bid/offer hit-rate ↑
  • Spread capture ↑
  • Failed trades ↓
  • Drawdown ↓

Settlement & compliance

  • Reconciliation match ↑
  • Deviation penalties ↓
  • Fulfilment rate ↑

Risk

  • VaR / CVaR within guardrails
  • Strategy stability ↑
  • Max drawdown bounded
Access KPI samples
Technical deep dive

LAPLACE Core™ · Multimodal forecasting model

Multimodal foundation, calibrated uncertainty and diffusion scenarios keep forecasts trustworthy and interpretable.

Model paradigm
  • Multimodal: time × topology × weather × rules
  • Transformer/TCN + GNN fusion
  • Pre-train then provincial fine-tune
Horizons & uncertainty
  • Seconds→minutes→hours→DA multi-head
  • Quantiles + ensemble + Conformal
  • P90/P95 coverage guaranteed
Scenario generation
  • Diffusion-based price/load scenarios
  • Controlled sampling for extreme weather
  • Feeds VaR/CVaR stress testing
Feature engineering
  • SCADA / bids / NWP / topology
  • Seasonality & rolling stats
  • Anomaly detection and clock alignment
Training & inference
  • Distributed + mixed precision
  • Knowledge distillation for edge serving
  • Online latency target <200 ms
Explainability & metrics
  • SHAP / attention heatmaps
  • Reliability diagram & PIT
  • CRPS, OOS drift, robustness sets
Architecture sketch

Core multimodal architecture

Inputs → temporal/topology encoders → fusion → point/interval/scenario heads → calibration layer

  • Temporal Transformer + TCN encoders
  • Topology / geo-aware GNN encoder
  • Multi-head outputs: point / quantile / scenario
  • Calibration & monitoring: coverage checks, reliability curves
Technical deep dive

STEWARD™ · RL + hybrid optimisation agent

Risk-aware RL blended with MPC/MILP and multi-agent coordination keeps strategies executable and controlled.

Decision modelling
  • State: forecast distrib + assets + rules
  • Action: bid curve / output / switching
  • Reward: revenue − cost − risk − degradation
Algorithm stack
  • Distributed PPO/SAC
  • CVAR-regularised + distributional RL
  • RL chooses windows, MILP lands curves
Multi-agent
  • Generators / retailers / loads
  • Opponent modelling & coordination
  • Conflict resolution and consensus
Training & evaluation
  • Monte Carlo simulations
  • Off-policy eval (IPS / DR)
  • Guardrail policies & black-swan drills
Online deployment
  • Market / EMS APIs
  • A/B and canary with rollback
  • Drift monitoring (KL / PSI)
Explain & audit
  • Action attribution & rule alignment
  • Billing reconciliation evidence
  • Strategy version tracking
Architecture sketch

STEWARD decision pipeline

Forecast distributions → strategy factory (RL + MPC/MILP) → risk guardrails → execution APIs → settlement & review

  • Risk-aware RL with multi-objective heads
  • MPC / MILP feasibility projection
  • VaR / CVaR guardrails & stability monitors
  • Execution loop: market hubs / EMS / reconciliation
Stack & Ops

Stack & engineering

AI foundation

  • Time-series foundation models
  • Topology-aware GNN
  • Diffusion scenario engine

MLOps

  • Feature pipelines
  • Train/validate/register
  • Deploy & monitor/alert
  • Automated retraining

DataOps

  • Lineage & quality monitors
  • Latency/missing/drift watchdogs
  • Feature store & DVC

Reliability

  • SLA ≥99.5% (99.9% optional)
  • Cloud/edge/hybrid deployment
  • Blue-green / canary releases
  • Performance dashboards

Governance

  • Model cards & reports
  • Artifact signing
  • Change audit & approval flows
Evaluation

Evaluation & benchmarks

Protocol

  • Forward-chaining rolling windows
  • Cross-province / site splits
  • Time-based train/val/test

Metric stack

  • Forecast: WAPE/MAE/RMSE/SMAPE/CRPS/coverage/width
  • Trading: hit-rate/spread/failed/drawdown
  • Settlement: reconciliation/deviation/fulfilment

Baselines & ablations

  • Baselines: ARIMA/Prophet/XGB/LSTM/Transformer/GNN
  • Ablations: -GNN / -Conformal / -diffusion / point-only

Significance & robustness

  • Diebold-Mariano tests
  • Bootstrap confidence intervals
  • Extreme-weather & OOD stress with missing injection
Data & Integration

Data & integration

Input schema

  • Timestamp / node / power
  • Bid & clearance logs
  • NWP grids
  • Topology & asset state

Frequencies

  • sec/min/15min/30min/hour/day
  • Normalised to core sampling rate

Quality control

  • Gap fill & anomaly flags
  • Clock drift correction
  • Geo alignment & tagging

Ingestion modes

  • SFTP/HTTPS
  • Message bus
  • Batch & streaming pipelines

Outputs

  • Point / quantile / interval / scenarios
  • Bid/offer curves
  • Execution signals & reconciliation reports
Security & Compliance

Security & compliance

Data protection

  • TLS everywhere
  • KMS encryption
  • Column-level masking
  • RBAC & audit trails

Regulatory fit

  • Spot market basic rules
  • Settlement accounting rules
  • Provincial hot updates

Resilience

  • Disaster recovery with drills
  • RPO/RTO targets
  • Rollback & fail-safe playbooks
FAQ

FAQ

Most frequent engineering questions we answer during delivery.

Cold start & data threshold?
Minimal datasets + transfer learning + online calibration get the first model ready fast.
How do you migrate across regions?
Pre-trained foundation with provincial fine-tuning and rule parameterisation.
Contract-friendly uncertainty?
Conformal calibration + fulfilment bands + contract-aligned reporting.
Integration with market hubs / EMS / AGC?
Standard APIs & message bus with idempotent receipts and rollback chains.
Downloads

Download whitepapers

Grab the latest forecasting and strategy playbooks with implementation notes.