electric vehicles
Driving Smarter EV Infrastructure: Avantcar and SETUP’s Data-Driven Journey
From Data to Insight: Understanding EV Charging Patterns
In collaboration with Kolektor SETUP, Avantcar embarked on a transformative software development initiative over the past nine months, revolutionizing the management and optimization of EV charging stations. This innovative project aimed to collect critical measurement data and develop baseline forecasts, laying the foundation for smarter, more sustainable energy management within Avantcar’s charging network.
At the start of 2024, SETUP delved into analyzing measurement data from Avantcar’s EV charging points, uncovering usage patterns that revealed key insights. During January and February, the team identified various EV charger types, conducted essential communication tests, and dissected data from a “typical week.” Peaks in charging activity were mapped to morning, midday, and afternoon hours, with distinct differences observed between workdays and non-workdays. This data served as the basis for evaluating the system's capacity to manage peak power demands effectively.
Figure 1: Example of data analysis of AVA’s charging points.
Forecasting the Future: Advanced Algorithms for Energy Management
The next phase advanced the project by leveraging sophisticated forecasting techniques. Using diverse features—including season, month, hour, workday/non-workday status, temperature, and precipitation—three advanced algorithms were tested: Random Forest Regressor, LightGBM, and Histogram-Based Gradient Boosting Regression Tree (HGBRT). All three achieved impressive results, with a ~5% normalized Mean Absolute Percentage Error (nMAPE). HGBRT emerged as the preferred model, thanks to its consistent accuracy and robust performance.
This collaboration underscores the power of data-driven insights in shaping the future of EV infrastructure. By integrating advanced analytics and predictive modeling, Avantcar and SETUP are not only enhancing energy efficiency but also paving the way for smarter, more reliable EV charging solutions that align with evolving consumer needs and environmental goals.
Figure 2: Avantcar fleet
SAEE Conference 2024: Leveraging EV Fleet Flexibility
The SAEE Conference, a premier event focused on sustainable energy and environmental advancements, recently brought together experts, researchers, and practitioners to discuss cutting-edge solutions for global energy challenges. This year’s conference highlighted transformative ideas in renewable energy, smart grids, and sustainable mobility—areas at the heart of the OPENTUNITY project.
One of the standout contributions came from Janez Gregor , a researcher from the University of Ljubljana, who presented the paper: "Analysis of Consumption Forecasting and Flexibility Utilization of an Electric Vehicle Fleet in the OPENTUNITY Project". Co-authored with Klemen Peter Kosovinc (Kolektor sETup), Miha Valentinčič (Avantcar), and Tomi Medved (University of Ljubljana), the paper delves into the potential of electric vehicle (EV) fleets to optimize energy usage and support the green transition.
Transforming Mobility with Energy Flexibility
As the EU aims to ban sales of new CO₂-emitting vehicles by 2035, the mobility sector is rapidly shifting toward electric vehicles. Avantcar’s EV-sharing service, with over 50,000 users, exemplifies this trend but also reveals an untapped opportunity: leveraging EV fleets for advanced energy management. The study presented at SAEE highlights how new mobility infrastructure—vehicles and charging stations—can contribute to grid stability and operational efficiency.
OPENTUNITY’s Role in Innovation
The OPENTUNITY project, funded by Horizon Europe, integrates cutting-edge methodologies and machine learning models to analyze and forecast energy consumption from EV fleets. By aggregating data from charging stations and identifying usage patterns, the project develops algorithms to determine flexibility potential. This approach not only optimizes fleet operations but also strengthens grid reliability, showcasing the critical role of EVs in the energy transition.
Key Takeaways
The presentation by the OPENTUNITY team underscored the importance of:
- Forecasting consumption patterns using advanced data analysis and machine learning.
- Utilizing flexibility from EV fleets to support grid stability and enhance efficiency.
- Aligning mobility innovations with sustainability goals to drive a greener energy system.
A Step Forward for Sustainable Mobility
The SAEE Conference served as a platform to share OPENTUNITY’s insights with a global audience, fostering collaboration and innovation in sustainable energy practices. With contributions like this, the project reinforces its commitment to developing practical, impactful solutions for the energy sector.
Access the Full Paper
For those interested in a deeper dive into the methodologies and findings, the full paper, "Analysis of Consumption Forecasting and Flexibility Utilization of an Electric Vehicle Fleet in the OPENTUNITY Project" is available in Slovene.
Read the paper here:
Cost Minimization through Flexible Demand Optimization
Cost Minimization through Flexible Demand Optimization
13/12/2023
In the pursuit of cost minimization, OPENTUNITY is at the forefront of revolutionizing the energy landscape by optimizing the scheduling of flexible demand for consumers and energy communities. Our focus encompasses crucial elements such as HVACs (heating, ventilation, and air conditioning), domestic hot water (DHW) devices, electric vehicles (EVs), and energy storage systems.
Our partner Hypertech a key player in this venture, is actively developing a Mixed-Integer Linear Programming (MILP) model to achieve optimal results in flexible demand optimization. The essence of this approach lies in the strategic time shifting of loads, leveraging baseline profiles provided for each asset. This strategy proves to be pivotal in achieving lower customer bills, especially when coupled with a variable price profile available to consumers.
To illustrate the tangible benefits of our methodology, consider the following example involving two households equipped with two DHW devices and an HVAC system. Through our approach, the demand is intelligently shifted to time steps when electricity prices are lower. The outcome? A substantial cost reduction of 12.5%, showcasing the efficiency and practicality of OPENTUNITY’s commitment to cost-effective energy solutions.
