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autoencoder_classifier

Autoencoder model for rare event classification

battery-optimization

emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

battery_fault_detection_nc_github

batterycontrol

A python script to control charging/decharging of home battery based electriciy price

chatpdf

deep-learning-and-rare-event-prediction

Deep Learning and Rare Event Prediction

han_port_smartmeter

AMS power meter node for Arduino and mysensors

lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

nilm-papers-with-code

An archive for NILM papers with source code and other supplemental material

nodehostingapp

pdfchat

predictive-maintenance

Leveraging Deep Learning Solutions for Predictive Maintenance of Batteries in Industrial Datasets

pumpsensor

rare_event_pred_maintanance

Code to solve a open dataset of predictive maintanance of sheet brek on a paper mill.

reinforcement-learning-for-real-time-pricing-and-scheduling-control-in-ev-charging-stations

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

rul_battery

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

rul_estimation_paper_mill

A regression based approach to estimate the Remaining Useful Life (RUL) of a paper mill for a web break prediction problem.

time_of_use

Code release of EnergyBoost: Learning-based Control of Home Batteries

tou

Final Project for AA 222: Engineering Design Optimization: Multi-Objective Optimization for Sizing and Control of Microgrid Energy Storage

tou-gradient

Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.

tou_indoor-tempr

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.