A state-of-the-art AI-based EV charging analytics platform

Challenge

Analysis of electric vehicles (EV) charging stations data for establishing a smart EV ecosystem.

Solution

Machine learning models for a descriptive and predictive analysis of charging stations.

About the client

The client is an advanced technology company with expertise in designing, implementing, and supporting telecom OSS/BSS solutions. The company offers solutions and services to retail, telecom, energy, mortgage, and F&B sectors, including machine learning, IoT, and big data analytics.

Challenge

Analyzing the tremendous amount of data captured from EV charging stations and extracting valuable business intelligence to provide insights to manufacturers, fleet operators, charging station operators, and end-users is challenging.

EV chargers require timely, consistent, and relevant insights to provide standard, historical, and real-time data to scale their businesses and improve various aspects of their operations, analysis, and predictions.

Our team of data scientists performed an in-depth analysis identifying

The demand for public charging stations
Charging behavior patterns
The energy consumption patterns of charging stations

Solution

The client has an IoT product that helps build connected community management systems and smart cities. The intelligent solutions also support EV charging station data collection. The data scientists and expert analysts at Intellect Data constructed a platform to ingest and provide advanced analytics from the client’s IoT-captured charging data.

The platform developed by Intellect Data analyzes EV ecosystem elements like

The platform provides discrete observations from time-series data analysis performed through applying statistical concepts and machine learning models. The dynamic analysis helped

Provide location-based and industry-based insights on charging stations
Supply periodic inputs on charge point sessions
Gain insights on charger types at each charging station
Develop periodic energy consumption insights and predictions
Quantify the demand and occupancy at charging stations on peak and non-peak days

The client has an IoT product that helps build connected community management systems and smart cities. The intelligent solutions also support EV charging station data collection. The data scientists and expert analysts at Intellect Data constructed a platform to ingest and provide advanced analytics from the client’s IoT-captured charging data.

Tools & technologies used

The predictive and descriptive analytics platform has a secure architecture and includes advanced capabilities and features like

Network management
Configurable orchestrated standard operating procedures
Power and load analysis
Installed base analysis

Predictive maintenance
Cloud platform
Technology agnostic

Result

Intellect Data built a platform that offers an end-to-end charging solution to EV manufacturers, EV charge point operators, and the EV market ecosystem overall. The platform dramatically increased the client’s business revenue streams and business pipeline by offering

A full spectrum of solutions to the EV charging community
A core EV charging infrastructure value chain
A materially enhanced customer experience

Optimized load, fleet, and power management
Risk reduction with predictive analytics
Improved efficiency and operational cost savings

Our clients

Why Choose IntellectData^TM as your AI and data science partner?

Broad-spectrum of products and services employing leading-edge technology, providing a strategic and competitive advantage
Industry-leading expertise developing and implementing digital products and software services incorporating data science, artificial intelligence, image and video analytics, text analytics, predictive analytics, recommendation engines, and visualization
Easily integrated with other mission-critical enterprise applications and platforms to solve any data-driven problem
Unmatched standards for quality, scalability, and performance create exceptional value, propelling organizations to the next level of insight and action
End-to-end services from consulting to full-cycle software development
Empower non-experts to use machine learning models and techniques without the need for prior expertise in the field
Complete adherence to data and security regulations such as HIPAA, Data protection 2018, etc.