{"id":2623,"date":"2022-03-13T09:16:10","date_gmt":"2022-03-13T03:46:10","guid":{"rendered":"https:\/\/smarthelio.com\/?p=2623"},"modified":"2023-09-12T19:33:21","modified_gmt":"2023-09-12T14:03:21","slug":"predict-solar-irradiance-with-ghi-forecasting","status":"publish","type":"post","link":"https:\/\/smarthelio.com\/predict-solar-irradiance-with-ghi-forecasting\/","title":{"rendered":"All you need to know about GHI forecasting for solar PV plants"},"content":{"rendered":"

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Predict solar irradiance<\/a> with 98% accuracy for any kind of solar plant across the globe<\/span>.<\/h3>\n

SmartHelio\u2019s HelioCloud GHI Forecast service is aimed to assist<\/span>\u00a0solar asset managers, banks and the like to obtain accurate predictions of\u00a0<\/span>global horizontal irradiance for any location in the world.\u00a0<\/span><\/p>\n

What is Global Horizontal Irradiance (GHI)?<\/strong><\/p>\n

Global Horizontal Irradiance (GHI), the electromagnetic spectrum obtained from the s<\/span>un is the direct form of abundant energy resource that fuels many processes on\u00a0<\/span>the Earth.\u00a0<\/span>Although the sun emits a nearly constant amount of radiation (solar\u00a0<\/span>constant = 1361.1 W m<\/span>-2<\/span>), we experience considerable temporal and spatial variation\u00a0<\/span>in the solar radiation received on the Earth\u2019s surface. Because of this, it becomes\u00a0<\/span>important to have a reasonably accurate knowledge on the availability and variability\u00a0<\/span>of GHI.\u00a0<\/span><\/p>\n

Why is accurate GHI Forecasting important for solar plants?<\/strong><\/p>\n

Today, solar irradiance forecasting receives unprecedented attention from various <\/span>scientific communities. This is because of the importance of forecasting the\u00a0<\/span>variability of solar power for their grid integration, which constitutes a major\u00a0<\/span>challenge to a successful transformation of the conventional fossil fuel-based energy\u00a0<\/span>sector into a 100% renewable one.\u00a0<\/span><\/p>\n

Current challenges of GHI forecasting<\/strong><\/p>\n

It turns out, however, that current solutions lack localization of the forecasts.\u00a0<\/span>Additionally, such solutions do not also discuss the potential changes in GHI under\u00a0<\/span>the umbrella of climate change<\/a>. But long-term radiation magnitudes recorded over\u00a0<\/span>different places proves that GHI undergoes substantial multi-decadal variations,\u00a0<\/span>which should be considered in solar resource assessments.<\/span><\/p>\n

SmartHelio\u2019s HelioCloud GHI Forecast service<\/strong><\/span><\/p>\n

SmartHelio\u2019s HelioCloud GHI Forecast service predicts solar irradiation for any\u00a0<\/span>location in the world. To this end, it employs cutting-edge Machine Learning\u00a0<\/a><\/span>algorithms along with custom functions to generate insights from historical data that\u00a0<\/span>help reduce uncertainty in estimating global horizontal irradiance.\u00a0<\/span><\/p>\n

Furthermore, our algorithms take into account key influencing factors such as:<\/span><\/p>\n