Electricity generation from renewable energy sources is increased day by day. Accurate estimation of electricity generation from the renewable energy sources which have intermittent and variable characteristics is a requirement to ensure stable operation of the electrical grid. In this study, a multi-layer artificial neural network (ANN) system, which is supported by meteorological forecasting data, has been proposed to predict day ahead hourly solar radiation. In this context, the ANN system which operates by based on cause-effect relationship has been designed. In order to increase accuracy of the solar radiation prediction of the designed ANN, a similar day selection algorithm has been developed. A unique ANN has been constituted for each season by evaluating the seasons within itself. The designed ANN model has been designed, trained and tested in MATLAB simulation environment without using codes of the MATLAB ANN toolbox. Day ahead hourly solar radiation of Trabzon province has been predicted by the proposed ANN. The accuracy of the predictions has been evaluated by the mean absolute percentage error (MAPE), the root means squared error (RMSE), the mean absolute error (MAE) and the correlation coefficient (r) performance measures.
DC/DC Buck converter LED dimming Tunnel lighting Visual perceptions of driversThis study presents the design and implementation of a computer-based real-time demonstration setup for dynamic highway tunnel lighting control research studies. The energy-efficient and controllable lighting systems stand out worldwide because of energy efficiency objectives and carbon footprint reduction goals of the countries. An LED (Light Emitting Diode) armature-based highway lighting systems are frequently utilized in recent years due to lighting efficiency, energy efficiency, long life, environmentally and cost-friendly structure of the LEDs as well as zero ultraviolet emissions of them. In this study, the LED-based dynamic tunnel lighting control approach has been implemented through the proposed demonstration setup which is a typical real-time software-controlled hardware. The parts of the proposed demonstration setup have been introduced and detailed to help with some upgrade studies in the future. The demonstration setup has been tested in some case studies, then the obtained results have been discussed and introduced. In the future, the proposed system can be upgraded and utilized for advanced control studies thanks to its computerbased and simulation environment connection capability.
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