Showing 97–100 of 152 results
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Battery Analytics Tutorial Course 1/3: Battery Analytics and the Role of the BMS
This one-hour course will explore how various energy storage industry experts define the term “battery analytics.” It will also examine how the battery management system (BMS) is used to control the battery and provide real-time performance reporting, the lowest level of battery analytics.
This webinar will focus on the following key topics:
• The different types of battery analytics
• How a BMS works and why it is the most basic component of any battery analytics platform
• Real-time performance algorithms as the lowest level of analyticsPresenter
Michael Worry – CEO at Nuvation EnergyMichael Worry founded Nuvation in 1997 and has grown the company over 21 years into a thriving electronic products and engineering services firm with offices in Sunnyvale, California and Waterloo, Ontario Canada. He is the CEO of Nuvation Energy, a provider of battery management systems and engineering services for large-scale energy storage systems.
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Battery Analytics Tutorial Course 2/3: Data Capture and Trend Reporting
This one-hour webinar is Part 2 of a 3-part series. Battery management systems take large amounts of sensor data readings on a continual basis as part of their functionality. Battery analytics involves leveraging battery performance data for tasks such as identifying issues that can reduce battery life, flagging behavior that can negatively impact energy storage system performance, and predicting remaining cell and pack life.
This webinar will focus on the following key topics:
• Sensor data capture, aggregation and manipulation into performance reports
• Real-life examples will be shared, where aggregated historical data was analyzed and anomalous behaviors were identified
• Also shared will be the inspections and testing of the pack to identify the cause of the anomalous behavior, and the discovery and resolution of the problems that caused the anomaliesPresenter
Michael Worry – CEO at Nuvation EnergyMichael Worry founded Nuvation in 1997 and has grown the company over 21 years into a thriving electronic products and engineering services firm with offices in Sunnyvale, California and Waterloo, Ontario Canada. He is the CEO of Nuvation Energy, a provider of battery management systems and engineering services for large-scale energy storage systems.
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Battery Analytics Tutorial Course 3/3: Predictive Modelling, Machine Learning, and AI
This one-hour webinar is Part 3 of a 3-part series. It moves from a discussion of data capture and trend reporting explored in Part 2 to predictive modeling, machine learning, and artificial intelligence as the next levels of battery analytics.
We will examine how machine learning and artificial intelligence can be implemented to identify hidden correlations between disparate data and energy storage system performance, and also independently take pre-emptive action to increase ESS reliability and battery life.
Real-life examples will be shared where predictive models could have flagged anomalous behaviors that were experienced in the field, and led to corrective actions to mitigate unplanned costs and labor.
This webinar will focus on the following key topics:
• Coming to Terms – Understanding the differences between machine learning, artificial intelligence, deep learning, and rule-based systems
• Predictive Modeling Approaches – using data mining and probability to forecast outcomes
• What’s Next – How AI and Machine Learning will impact large-scale battery energy storagePresenter
Michael Worry – CEO at Nuvation EnergyMichael Worry founded Nuvation in 1997 and has grown the company over 21 years into a thriving electronic products and engineering services firm with offices in Sunnyvale, California and Waterloo, Ontario Canada. He is the CEO of Nuvation Energy, a provider of battery management systems and engineering services for large-scale energy storage systems.
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Energy Storage Applications – Front-of-the-Meter and Behind-the-Meter Perspective
The importance of energy storage is now well acknowledged and known by the energy sector. The pertinent question therefore is how and where. Energy storage applications are well spread across the value chain of energy. Electric Vehicles of course find the biggest deployment area for energy storage, but the opportunity present is much more largely spread. Right from front-of-the-meter (FTM) applications like DSM management, peak shifting, load balancing, providing ramping support to behind-the-meter (BTM) applications like DG optimization, microgrid sustenance, datacenters etc.
This presentation will explain the opportunities present in the Indian market, and also throw light on various case studies with storage at FTM and BTM levels.
This webinar will focus on the following key topics:
• Overall market forecast – opportunities in India
• Energy storage applications with renewables
• Energy storage applications for Utilities and DISCOMs
• Behind-the-Meter applications
• EV applicationsPresenter
Debmalya Sen – Senior Consultant, Emerging Technologies at Customized Energy SolutionsDebmalya is an energy sector professional with around a decade of asset management and techno-commercial experience across coal, gas, renewable energy (solar and wind), high voltage sub-station operations, datacenter development, EV infrastructure development, innovation and sustainability. He is presently working as Senior Consultant – Emerging Technologies with Customized Energy Solutions. He works closely on energy storage and its application to industry, to help organizations strategize on new business lines and to find applications to integrate storage with existing assets. This includes areas like deployment of storage for DG optimization, RE firming, DSM Management, Utility level storage installation, storage application to defer T&D Investment decisions and Electric vehicle adoption strategies to name a few.
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