Atlas

Everything the platform can read, forecast, optimise and run

Six registers, every entry a real, testable artefact: 85 connectors → 111 methodologies (6 forecasting problems) → 39 solvers (21 optimisation problems) → 11 power networks.

1 · Inputs

Every forecast and decision starts here.
Source
85

Data Connectors

real upstreams in the register
21 pulling fresh data now · 1 stale · 37 not yet exercised

ENTSO-E, AEMO, EIA, national TSOs, CDS/ADS reanalyses, NASA Earthdata — every one labelled by tier, cadence and licence.

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2 · Forecasting

Methodologies address forecasting problems.
Algorithm
69

Forecasting Methodologies

algorithms implemented end-to-end

Classical, ML, DL, probabilistic, hybrid, physical — facet-filter by tier, family, horizon and forecasting problem.

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Problem
6

Forecasting Problems

problem families

Demand · price · solar generation · wind generation · hydro generation · weather drivers. Each pulls in the methodologies that solve it.

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3 · Optimization

Problems addressed across the horizon × uncertainty space.
Problem
21

Optimization Problems

problem families (v2 taxonomy)

4-axis taxonomy — horizon × decision_type × uncertainty × math_class. Real-time (state estimation / frequency / voltage control) · short-term (ED · OPF · market clearing · storage · DSO · network-security ops) · medium-term (UC · reserves · hydrothermal · maintenance) · long-term (capacity / transmission / integrated-system / distribution planning) · cross-horizon (security · resilience · adversarial · benchmarks).

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Mental model
15

Problems Grid (5×3)

horizon × uncertainty cells

v2 grid: real-time / short-term / medium-term / long-term / cross-horizon × deterministic / stochastic / robust. Each cell maps to problem families with implementation-status tier.

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4 · Physical systems

The grids the optimum runs on.
System
11

Power Networks

PyPSA network families

Vendored from upstream PyPSA repos — Eur · USA · DE · China · Earth · regional forks. Use for dispatch + capacity-expansion studies.

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How it composes

Every capability is one recipe: system × problem × compute

The six registers aren't a flat list — they slot together. Read a forecast left to right; read a decision as a product of three choices.

Forecasting — read left to right
Source
Connector
Real observed data from a TSO, ISO or reanalysis.
Algorithm
Methodology
Trains on that history and predicts.
Problem
Forecasting problem
What you're forecasting.
demandpricesolarwindhydroweather-driver
Optimization — a product of three
Input
Methodology output
The forecast, as a decision input.
Problem
Optimization problem
Dispatch · commitment · expansion.
Compute
Solver
The backend that finds the optimum.
Result
Decision
A dispatch, commitment or expansion plan.
Worked examples — a power network is the physical system a decision runs on
pypsa_dispatch
system
PyPSA network
problem
LOPF (linear optimal power flow)
compute
PyPSA solver
battery_dispatch_highs
system
Single asset
problem
Battery dispatch
compute
HiGHS