pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
Nature

An ensemble-based enhanced short and medium term load forecasting using optimized missing value imputation

Electricity load forecasting is integral to planning, energy management, and the energy market. Utility companies serve a massive number of customers by supplying electricity. These utility companies ...
Nature

A short-term forecasting method for photovoltaic power generation based on the TCN-ECANet-GRU hybrid model

Along with the escalating conflict between environmental protection and growing energy demand, clean energy is gradually gaining worldwide attention. Among them, photovoltaic power generation, as a ...

Short-Term Energy Outlook: June 2026

This article presents the annual production outlooks for crude oil, natural gas, and NGLs, comparing the June 2026 ...
pv magazine International

Solar forecasting based on all sky imaging, long short-term memory

A Dutch research team have developed a solar radiation forecasting model that uses the long short-term memory (LSTM) technique. The proposed methodology reportedly achieves better results than other ...
Phys.org

Satellite data and weather models improve short-term solar irradiance forecasts in China

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance forecasting crucial for balancing supply and demand. However, traditional ...