The article discusses a new method to predict the temperature of solar panels more accurately. By using a type of computer program called a neural network, the researchers were able to forecast the temperature of the solar panels based on previous data. They found that by using information from the last day and the last three days, they could predict the temperature of the solar panels for the current day. This method was shown to be effective in improving the accuracy of temperature predictions for solar panels.