I used only part 1 and part 2 due to space constraints and limited computing power.
The dataset is divided into multiple folders, each folder has electricity usage readings taken per hour for a duration of a month.
- https://aws.amazon.com/blogs/machine-learning/deploy-trained-keras-or-tensorflow-models-using-amazon-sagemaker/
- https://docs.aws.amazon.com/sagemaker/latest/dg/howitworks-create-ws.html
- https://aws.amazon.com
- https://medium.com/google-cloud/keras-inception-v3-on-google-compute-engine-a54918b0058
- https://heartbeat.fritz.ai/deploying-pytorch-and-keras-models-to-android-with-tensorflow-mobile-a16a1fb83f2
- https://towardsdatascience.com/how-to-convert-from-keras-to-tflite-with-zero-knowledge-of-tensorflow-5448a296ae67
- https://stackoverflow.com/questions/45874245/keras-deep-learning-model-to-android
- https://github.com/OmarAflak/Keras-Android-XOR
- https://github.com/amir-abdi/keras_to_tensorflow
- https://blog.goodaudience.com/introduction-to-1d-convolutional-neural-networks-in-keras-for-time-sequences-3a7ff801a2cf
- https://www.kaggle.com/alexanderlazarev/simple-keras-1d-cnn-features-split
- https://machinelearningmastery.com/keras-functional-api-deep-learning/
- https://machinelearningmastery.com/cnn-models-for-human-activity-recognition-time-series-classification/
- https://archive.ics.uci.edu/ml/datasets.html?format=&task=&att=&area=&numAtt=&numIns=&type=ts&sort=attUp&view=list
- https://www.kaggle.com/uciml/electric-power-consumption-data-set/kernels
- https://www.kaggle.com/utathya/electricity-consumption
- https://www.kaggle.com/c/ugent2018/data
- https://www.kaggle.com/amirrezaeian/time-series-data-analysis-using-lstm-tutorial
- https://www.kaggle.com/dannymathew/lstm-to-predict-electricity-consumption
- https://www.kaggle.com/datasets?sortBy=relevance&group=all&search=tag%3A'energy'
- https://www.kaggle.com/new-york-city/ny-dcas-managed-building-energy-usage
- https://data.world/databeats/household-power-consumption
- https://opendata.stackexchange.com/questions/5976/green-button-energy-data/5977#5977
- https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption
- https://machinelearningmastery.com/how-to-load-and-explore-household-electricity-usage-data/
- https://catalog.data.gov/dataset/monthly-energy-consumption-by-sector