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ResStock
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Machine learning models show accuracy drop with limited residential energy data
A new study published on arXiv compares the effectiveness of various machine learning models for estimating residential energy consumption using limited input data. Researchers found that while models like CatBoost achi…
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New dataset RESCAST-100K aids cross-domain residential energy forecasting
Researchers have introduced RESCAST-100K, a large-scale dataset designed to improve cross-domain forecasting for residential energy load and indoor temperature. The dataset, generated using EnergyPlus simulations for ap…