Substation renewals, line replacements, transformer programmes, smart-meter rollouts, DER integration, EV-load reinforcement. The same model handles them all — and shows the trade-offs between them.
is the multi-decade discipline of sequencing capital investment across transmission, distribution, generation, and storage assets — under simultaneous constraints of budget, reliability, carbon, and regulatory revenue caps. The Gartner Market Guide for Asset Investment Planning Solutions (G00781827, December 2024) identifies grid investment planning as a primary AIP use case for energy utilities.
Distributed solar, batteries, and EV charging fundamentally change load shape. Plans built on historical demand forecasts are already obsolete before they reach the board.
Coal, gas, and nuclear units coming offline. Replacement capacity, transmission reinforcement, and storage all land on the same critical path.
Storms, heat domes, drought, and wildfire. Reliability investment has to be modelled forward against projected climate exposure, not against historical baselines.
The total CAPEX envelope is fixed by the regulator. Trade-offs between substation renewal, line hardening, and DER integration are zero-sum and must be defensible.
Voluntary or mandated decarbonisation pathways have to coexist with reliability and affordability. Carbon sits inside the CAPEX decision, not beside it.
Senior planning engineers retiring with the network model in their heads. Decision logic has to live in a platform that survives the transition.
Substations, lines, transformers, switchgear, mains, plants, meters — bulk import from CMMS, GIS, or ERP in days. A single, auditable source of truth for the planning team.
10,000+ predictive models project failure probability, consequence, and climate exposure for every asset class in the network. DER penetration and EV load forecasts integrate as scenario inputs to reshape upgrade timing at the substation level.
Compare 5, 10, and 30-year scenarios side by side. Set budget caps, reliability targets, carbon pathways, and DER penetration assumptions — then see exactly which assets get funded in each future, with sensitivity turnaround in hours not weeks.
Compare 5, 10, and 30-year scenarios under budget, risk, and carbon constraints. See exactly which assets get funded in each future and where risks accumulate.
Distributed solar, battery storage, and EV charging modelled as scenario inputs. See which substations need upgrade timing changes under aggressive vs conservative DER adoption.
Refurbish, replace, or run to failure — modelled with full-life cost, risk reduction, and carbon impact for every option across every asset class.
Forward weather exposure layered onto asset condition. Investments prioritised where climate consequence is highest — storm, heat, flood, and fire all modelled.
Generation mix, line losses, electrification of heat and transport — net-zero pathway sits inside CAPEX, not adjacent to it. Optimise €/tCO₂ across the full portfolio.
Every recommendation links to the asset, the condition data, the model, and the action. Defensible to regulator, board, and the public — without additional preparation.
Substations, lines, transformers, switchgear, mains, and plants — bulk import from CMMS, GIS, and ERP in days.
10,000+ predictive models. Failure probability plus consequence plus climate exposure, year by year.
Budget caps, reliability targets, decarbonisation pathway, and DER penetration assumptions — all as configurable inputs.
Side-by-side scenarios. Asset-level slips. Sensitivity in seconds. Board-ready output formatted for your regulator.
Yes. Year-by-year simulation across the full asset lifecycle. Predictive models project degradation, risk, cost, and carbon over the planning horizon you set — 5, 10, 20, or 30 years.
Both. Transmission, distribution, generation, and storage assets are all handled with vertical-specific predictive models — substations, lines, transformers, switchgear, and mains.
DER penetration is a scenario input that reshapes load shape, line capacity, voltage management, and substation upgrade timing. Run aggressive vs conservative DER scenarios and see asset-level impact immediately.
Yes. Load forecasts from internal models or third-party vendor tools integrate via REST and GraphQL APIs as scenario inputs alongside condition data and degradation models.
Yes. The same engine handles linear and point assets across power, water, and gas networks — with asset-family-specific predictive models calibrated for each network type.
Bring your asset register and planning horizon. We'll show you what a 30-year scenario looks like on your data.
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