Will Your Tower Power Budget Keep Up With Q4 Network Growth?
Imagine new equipment is approved for November, but the power budget still assumes last quarter’s load. Before it goes live, Energy, Finance and Network Planning need the same answer: what will this change mean for energy demand and cost? For your October review, check what is changing, what it could cost and which assumptions support the forecast.
Why the assumptions matter
In August 2024, IHS Towers and MTN Nigeria announced renewed tower agreements covering approximately 13,500 tenancy contracts. Their terms included a component indexed to the cost of providing diesel power. The lesson: check both the energy required and which costs your organisation carries.
Consider an illustrative rollout adding a continuous 1 kW at each of 100 sites. Over 30 days, that means 72,000 additional kWh, before system losses: 100 × 1 kW × 24 hours × 30 days. This is an example, not a customer result.
The budget impact depends on how that energy is supplied and paid for. An outdated estimate could underfund operations; an overly cautious one could tie up money unnecessarily.
Check the change, not just the total
Load and timing: Which sites will receive new equipment or tenants? How much demand will they add, and when? Compare the plan with measured site loads.
Power and price: What does site history show about grid availability and generator use? Check the energy prices and contract terms behind the cost estimate.
Evidence and ownership: Is the operating history representative? Record gaps, the approved assumptions and who owns the update. Agree on a review trigger when equipment, timing or power availability changes.
Put the forecast to work
enee.io uses historical site data and weather forecasts to estimate energy use, cost and source mix. It provides a detailed 24-hour view and a 12-month outlook to support near-term and budget discussions.
In enee.io’s published case study, Nigerian nonprofit Action Health Incorporated used year-ahead forecasting to identify ₦46 million in expected diesel expenditure. That was a forecast, not a saving.
Although AHI is not a tower operator, it demonstrates how site data can inform a budget. A forecast is an estimate, not a guarantee. Check which planned changes it reflects. Where history is limited, agree what monitoring is needed. After equipment goes live, compare actual performance with the original expectation.
Your tower power budget is only as strong as its assumptions. Keep them aligned with your network, and make the next funding decision easier to explain.
Bring one planned network change or budget question. We’ll explain the forecast views using an authorised demonstration site, then discuss the data needed to assess your own network.