energy
Datasets
All datasets matching “energy”generative-sound-masking-generated-energy-v7
Generative Sound Masking — fixed-background audio masking
Incrementally generated unfiltered candidates. This is not a final selected dataset.
Each background has 15 separately generated prompt–seed outputs using gain-compensated reconstruction residuals. run_config.json pins models, source pools, parameters and implementation hashes.
For multiple workers read workers/worker-NN/progress.json; each worker reports only its assigned IDs.
Global completion requires all worker… See the full description on the dataset page: https://huggingface.co/datasets/AE-W/generative-sound-masking-generated-energy-v7.liander2024-energy-forecasting-benchmark
Dataset Card for Liander 2024 Short Term Energy Forecasting Benchmark
This dataset provides a benchmark for short term energy forecasting models, combining electrical load measurements from Dutch DSO Liander with predictors like corresponding weather data from OpenMeteo, day-ahead electricity prices from ENTSO-E, and profiles of electricity consumption from Energiedatawijzer. The dataset covers the full year 2024 (2024-01-01 to 2025-01-01 UTC) and includes 55 different points in… See the full description on the dataset page: https://huggingface.co/datasets/OpenSTEF/liander2024-energy-forecasting-benchmark.vidore_v3_energyViDoRe V3 : Energy - FR
This dataset, Energy Fr, is a corpus of reports on energy supply in europe, intended for complex-document understanding tasks. It is one of the 10 corpora comprising the ViDoRe v3 Benchmark.
About ViDoRe v3
ViDoRe V3 is our latest benchmark for RAG evaluation on visually-rich documents from real-world applications. It features 10 datasets with, in total, 26,000 pages and 3099 queries, translated into 6 languages. Each query comes with human-verified… See the full description on the dataset page: https://huggingface.co/datasets/vidore/vidore_v3_energy.syntheticDocQA_energy_test_beirBEIR version of vidore/syntheticDocQA_energy_test.
STG_energy
STG_energy — results data
This dataset contains the results/ data (simulation outputs, trained neural density estimators, and analysis artifacts) for the paper:
Deistler, M., Macke, J.H., Gonçalves, P.J. (2022). Energy-efficient network activity from disparate circuit parameters. bioRxiv.
Code repository
The code that produces and consumes this data lives at:
https://github.com/mackelab/STG_energy
See the code repo's README for instructions on how to reproduce… See the full description on the dataset page: https://huggingface.co/datasets/mackelab/STG_energy.smart-home-energy-prediction
Smart Home Appliance Energy Prediction
Dataset Summary
A public, viewer-ready educational challenge dataset. Host-only scoring data and hidden targets are excluded.
Splits
Split
Examples
Description
train
15,882
Labeled training data
test
3,853
Public inputs with withheld target labels or annotations
Data Fields
Field
Type
date
object
lights
int64
T1
float64
RH_1
float64
T2
float64
RH_2
float64… See the full description on the dataset page: https://huggingface.co/datasets/hoangbang/smart-home-energy-prediction.