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Federal
BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset 20 recent views
Department of Energy —
The BUTTER-E - Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of... -
Federal
Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets 20 recent views
Department of Energy —
Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research... -
Federal
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting 10 recent views
Department of Energy —
The BuildingsBench datasets consist of: - Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting... -
Federal
Flow Redirection and Induction in Steady State (FLORIS) Wind Plant Power Production Data Sets
Department of Energy —
This dataset contains turbine- and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric... -
Federal
BUTTER - Empirical Deep Learning Dataset
Department of Energy —
The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen...