Short-Term Solar and Wind Generation Forecasting for the Western Region of India

With the increased emission of greenhouse gases from fossil fuels, which endanger the environment, Renewable Energy (RE) sources have been attracting much attention in today's world. Integration of RE in power generation introduces variability and ramp events in power outputs due to their intermittent nature which affects system balancing, reserve management or scheduling and commitment of producing units. As a result, forecasting generation aids in the reduction of uncertainty, which is crucial for streamlined power generation and use. This work aims to forecast wind and solar power generation of several stations for the Western region of India using the recent data collected from the Western Region Load Dispatch Center (WRLDC) using the Long Short-Term Memory (LSTM) network. The concept of Wind Power Density (WPD) and target encoding was introduced as features in the model. Furthermore, this research offers promising results on the recent data and aims to send potential researchers in the power systems field, the right way.