Python package for working with demand-side grid projects, datasets and queries
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Updated
Feb 19, 2026 - Python
Python package for working with demand-side grid projects, datasets and queries
Life Cycle Assessment of Technical Building Services of Large Residential Building Stocks using Semantic 3D City Models
🔋 Time Series Forecasting for Energy Demand Spike Prediction 🔋
Code written for a co-op term on Integrated Assessment Models
End-to-end time series analysis of hourly electricity consumption across 4,400+ London households using smart meter data
Housing Energy Demand Estimator (Lagos Case Study) — Streamlit app with ML model
En este proyecto se busca analizar el comportamiento de la generación de energía solar en España y como dicha generación es afectada por diversas variables climáticas/atmosféricas.
This project seeks to analyze the behavior of solar energy generation in Spain and how this generation is affected by various climatic/atmospheric variables.
LSTM-based hourly electricity demand forecasting model with 3.95% MAPE, using PGCB data to enable proactive grid management.
Interactive dashboard displaying the latest trends in publicly reported data center energy use.
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