Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior using LSTM model

Overview

Investigating EV charging data

Introduction:

Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal was to help people understand their household energy consumption, know what is going on in their homes, and ultimately reduce their energy footprint.

With the company business goal in mind formulated the following Problem statement:- Help equip customers with insights about their EVs energy consumption and help predict future charging behavior.

Dataset provided consisted of 1200 Households across the USA with one or more EVs of various brands at each Household. For each EV hourly energy consumption was provided. The dataset lacked consistency and was not uniformly populated for each EV during the time range. Some EVs had data for 6 months, while some EVs had data for just 3-4 hours.

The inconsistency started by deep diving into the dataset with two EDAs to understand the dataset better and explore factors that could be impacting the energy consumption of an individual car.

Some interesting insights from the EDA performed:

EDA Part 1: https://public.flourish.studio/story/1113717/

EDA Part 2: https://public.flourish.studio/story/1113715/

Please refer to EV Consumption PDF attached to see the EDA summary and Modeling Approach.

Equipped customers with insights about their EVs Hourly energy consumption and helped predict future charging behavior. Created energy consumption-wise clusters and LSTM model for future consumption insights. Designed sample dashboard views with insights and recommendations for customers.

Owner
Yash
Exploring one day at a time!
Yash
Get the partition that a file belongs and the percentage of space that consumes

tinos_eisai_sy Get the partition that a file belongs and the percentage of space that consumes (works only with OSes that use the df command) tinos_ei

Konstantinos Patronas 6 Jan 24, 2022
Traductor de lengua de señas al español basado en Python con Opencv y MedaiPipe

Traductor de señas Traductor de lengua de señas al español basado en Python con Opencv y MedaiPipe Requerimientos 🔧 Python 3.8 o inferior para evitar

Jahaziel Hernandez Hoyos 3 Nov 12, 2022
Collection of TensorFlow2 implementations of Generative Adversarial Network varieties presented in research papers.

TensorFlow2-GAN Collection of tf2.0 implementations of Generative Adversarial Network varieties presented in research papers. Model architectures will

41 Apr 28, 2022
Tensorflow implementation for Self-supervised Graph Learning for Recommendation

If the compilation is successful, the evaluator of cpp implementation will be called automatically. Otherwise, the evaluator of python implementation will be called.

152 Jan 07, 2023
Fuzzy Overclustering (FOC)

Fuzzy Overclustering (FOC) In real-world datasets, we need consistent annotations between annotators to give a certain ground-truth label. However, in

2 Nov 08, 2022
SlotRefine: A Fast Non-Autoregressive Model forJoint Intent Detection and Slot Filling

SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling Reference Main paper to be cited (Di Wu et al., 2020) @article

Moore 34 Nov 03, 2022
This repository provides the code for MedViLL(Medical Vision Language Learner).

MedViLL This repository provides the code for MedViLL(Medical Vision Language Learner). Our proposed architecture MedViLL is a single BERT-based model

SuperSuperMoon 39 Jan 05, 2023
YOLOv5 + ROS2 object detection package

YOLOv5-ROS YOLOv5 + ROS2 object detection package This program changes the input of detect.py (ultralytics/yolov5) to sensor_msgs/Image of ROS2. Requi

Ar-Ray 23 Dec 19, 2022
The code for the CVPR 2021 paper Neural Deformation Graphs, a novel approach for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects.

Neural Deformation Graphs Project Page | Paper | Video Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction Aljaž Božič, Pablo P

Aljaz Bozic 134 Dec 16, 2022
Joint parameterization and fitting of stroke clusters

StrokeStrip: Joint Parameterization and Fitting of Stroke Clusters Dave Pagurek van Mossel1, Chenxi Liu1, Nicholas Vining1,2, Mikhail Bessmeltsev3, Al

Dave Pagurek 44 Dec 01, 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated

37 Dec 15, 2022
Res2Net for Instance segmentation and Object detection using MaskRCNN

Res2Net for Instance segmentation and Object detection using MaskRCNN Since the MaskRCNN-benchmark of facebook is deprecated, we suggest to use our mm

Res2Net Applications 55 Oct 30, 2022
PointPillars inference with TensorRT

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

NVIDIA AI IOT 315 Dec 31, 2022
Official Implementation of SWAD (NeurIPS 2021)

SWAD: Domain Generalization by Seeking Flat Minima (NeurIPS'21) Official PyTorch implementation of SWAD: Domain Generalization by Seeking Flat Minima.

Junbum Cha 97 Dec 20, 2022
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

MI-AOD Language: 简体中文 | English Introduction This is the code for Multiple Instance Active Learning for Object Detection (The PDF is not available tem

Tianning Yuan 269 Dec 21, 2022
Space Invaders For Python

Space-Invaders Just download or clone the git repository. To run the Space Invader game you need to have pyhton installed in you system. If you dont h

Fei 5 Jul 27, 2022
Source code of our work: "Benchmarking Deep Models for Salient Object Detection"

SALOD Source code of our work: "Benchmarking Deep Models for Salient Object Detection". In this works, we propose a new benchmark for SALient Object D

22 Dec 30, 2022
A lightweight library to compare different PyTorch implementations of the same network architecture.

TorchBug is a lightweight library designed to compare two PyTorch implementations of the same network architecture. It allows you to count, and compar

Arjun Krishnakumar 5 Jan 02, 2023
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications

Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you s

labelbox 1.7k Dec 29, 2022
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

GCNet for Object Detection By Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu. This repo is a official implementation of "GCNet: Non-local Networ

Jerry Jiarui XU 1.1k Dec 29, 2022