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Energy and Meteorology Portal
Here, climatological data of solar radiation and wind speed are used to simulate hourly capacity factors for solar and wind energy for Germany from 1995 to 2015. Using renewable energy production data for 2015 these data are converted into time series of generated electrical power. Events with very low energy production, i.e., shortfall events, have […]
In a collaborative effort to address climate change impacts on Tanzania’s hydropower sector, WEMC, TMA, and TANESCO have developed and implemented a machine learning model for hydropower generation forecasting. This model utilizes meteorological data to simulate historical electricity production, predict future output, and inform resource management decisions. The model’s capabilities were demonstrated through a case […]
Drawing on real experiences, this online resource provides a blueprint for building dynamic resilience to extreme weather events. 10 learning reviews identify the system failures triggered by extreme weather events, the impacts these failures, and lessons learnt from mitigation and recovery.
Solar power plants can enable a shift away from polluting alternatives such as diesel-based generation, especially in isolated, snowbound areas where the opportunity cost of land is relatively low. Technical solutions to the challenges of difficult terrain and climatic conditions include bifacial modules and so-called passivated emitter and rear cell technology— all with fixed mounting […]
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