Power Generation Prediction and Trading Strategy for New Energy Wind and Solar Power Plants
With the development of new energy technologies,their share in the global energy structure has been increasing year by year,bringing new challenges and opportunities for power generation forecasting and trading strategies.This article delves into the classification,characteristics,and volatility of new energy technologies and their power generation.Using deep learning and neural network models,high-precision prediction of new energy generation was carried out,and a trading strategy based on risk and return was constructed in combination with the actual situation of the trading market.Further optimize trading strategies through machine learning methods to provide scientific basis for market-oriented trading of new energy generation.
new energy wind and solar power stationdeep learningpower generation forecasttrading strategy