Enhancing Solar Power Forecasting with Machine Learning Optimisers

A new study explores the application of LSTM (Long Short-Term Memory) neural networks and the Nadam optimiser to predict solar photovoltaic (PV) power output. This method aims to address the challenges of integrating solar PV systems into the energy grid, which is crucial due to the variability and intermittency of solar power. Highlights The study … Continue reading Enhancing Solar Power Forecasting with Machine Learning Optimisers

Lessons from Stavanger’s Journey to Net Zero: The Role of Fossil Fuel Giants and Implications for Global Climate Action

The Role of Fossil Fuel Giants and Implications for Global Climate Action learnt from Stavanger’s Journey to Net Zero: The Role of Fossil Fuel Giants and Implications for Global Climate Action