Project

• Title: Solar Power Forecasting Competition
• Goal: Using weather data and historical power generation data to predict solar power generation by time
• Category: Quantile Regression, Time Series Forecast
• Tool Used: python, pandas, sklearn, tensorflow
• Period: Dec, 2020 ~ Jan, 2021

Data

• Data: Weather Data, Solar Power Data
• Shape: (52560, 9)
• From: Dacon(KAERI)

Evaluation

• Metric: Pinball Loss
• Public Score : 41th(8.8%) / 1.82946
• Private Score: 78th(16.8%) / 2.09796