ZongXR/DCIC2024-PhotoVoltaic

本赛题要求选手基于历史光伏发电数据、天气数据、光伏设备空间相对位置等信息，通过建立适当的模型，对未来一段时间内的光伏发电出力进行预测。A榜使用外部数据得分0.88501103804 排名32，未使用外部数据得分0.88042407737 ；B榜得分0.90467829011排名21.

Archived

/ 100

Emerging

No commits in the last 6 months.

Archived Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 7 / 25

Maturity 16 / 25

Community 18 / 25

Stars

Forks

Language

Jupyter Notebook

License

GPL-3.0

Category

Last pushed

Apr 09, 2024

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ZongXR/DCIC2024-PhotoVoltaic"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

FlexMeasures/flexmeasures

The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly...

ml-energy/zeus

Measure and optimize the energy consumption of your AI applications!

pyaf/load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

FateMurphy/CEEMDAN_LSTM

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD...

saizk/Deep-Learning-for-Solar-Panel-Recognition

CNN models for Solar Panel Detection and Segmentation in Aerial Images.