Forecast maps tell you whether tomorrow will be windy or sunny; the solar and wind calculators on ngmeteo.com translate those atmospheres into kilowatt-hours. Both tools sit on their own pages but share the same logic as the main forecast: pick a point, read the latest global model output, and turn weather variables into an energy estimate for the coming days. They are planning aids, not substitute meters. Real production still depends on shading, inverter limits, maintenance and local obstacles that no grid can see.
Solar power calculator
Open the solar power calculator, click your site on the map, and enter array size in panels and watts per panel, plus tilt and azimuth. The backend pulls GFS cloud cover, atmospheric clarity and sun geometry for that coordinate, then estimates how many kilowatt-hours the array should generate each day over the forecast horizon. Steep south-facing tilts in mid-latitudes usually win on annual averages, but a forecast for a cloudy week can drop daily totals even when the panels are perfectly oriented. Compare several model runs by revisiting after the header run time updates on the main map. If your roof is partly shaded, treat the output as an upper bound and reduce mentally for trees, chimneys or morning/evening shade.
Wind turbine power calculator
The wind turbine calculator uses GFS wind speeds at hub height, adjusted for your chosen terrain class: open countryside, suburban clutter or urban roughness. Enter rated turbine power and hub height in metres, then click the map at the mast location. The tool converts forecast wind speeds through a standard power curve to daily energy totals. Small changes in height matter enormously because wind speed grows with altitude. A week that looks breezy on the 10 m map layer may still underperform if your turbine sits in a sheltered garden dip. Use the open-terrain setting only where fetch is genuinely unobstructed; suburban and urban classes exist precisely because buildings and trees bleed momentum from the airflow.
Limits and good practice
Both calculators inherit model bias: GFS may overdo cloud gaps or smooth mountain winds, so compare consecutive runs rather than trusting a single spike. They show weather-driven potential, not grid export, battery charging efficiency or tariff income. Pair them with the 8-day point forecast and wind layers on the main map to understand why a day is high or low, and with live radar when showers could cut solar output hours not resolved in coarse grids. For siting decisions, run the calculators in winter and summer weeks, not only on fair spring days. Used that way, they connect ngmeteo.com's numerical weather guidance to the practical question every installer asks: how much energy should this place reasonably produce in the weather that is actually forecast?