Which data is used to forecast PV power generation?

Electricity grid requires the PV stations to give the one-day-ahead PV power forecast results, namely give the predicted PV power values in the future one day. Thus, NWP data is usually used to forecast the one-day-ahead PV power generation.

Can weather-related data predict PV generation?

Indeed, many such models have been proposed that use weather-related data to predict solar intensity and/or PV generation. One such model tries to forecast PV generation utilizing site-specific forecasting models trained using data from the National Weather Service (NWS) .

What is PV power forecast?

PV power forecast aims to forecast the future PV power using the historical data. According to the electricity grid regulation, both one-day-ahead forecast and four-hour-ahead intraday rolling forecast should be given. Usually, one-day-ahead PV power forecast is given by Numerical Weather Prediction (NWP) in the previous day.

What data does a weather station provide?

These improvements, however, are left as future work. The scope of this paper is determined by the data provided by the weather station, which only supports a few weather-related variables (humidity, temperature, and wind speed) in addition to solar irradiance and voltage output.

Which meteorological variables affect PV output power estimation?

In this paper, we present a systematic approach to assess the impact of various meteorological variables, namely temperature, dew point temperature, relative humidity, visibility, air pressure, wind speed, cloud cover, wind bearing, and precipitation, on PV output power estimation.

What is solar photovoltaic (PV)?

Part of the book series: Springer Proceedings in Energy ( (SPE)) Electric power generated from Solar Photovoltaic (PV) panels is estimated to have increased globally by 22% in 2019, to 720 TWh . It is now considered the third-largest renewable energy technology after wind and hydro powers.