Showing 81–84 of 142 results
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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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Myths and Realities in Battery Engineering for EVs
As the automotive industry continues an aggressive push toward electrification, misconceptions abound as to the best way to run an EV battery program. Mobility companies are set up for failure if they’re of the mindset to outsource battery engineering, or that they can easily “set and forget” a battery after initial qualification. These missteps can lead to catastrophic product failures including delayed product launches, high-volume RMAs, recalls or worse. In this webinar we’ll review the most common myths to help ensure that your organization doesn’t have to learn the hard way.
This webinar will focus on the following key topics:
• Myths and misconceptions about battery engineering
• Consequences of believing these myths
• Realities of battery engineering
• Common pitfalls and how to avoid themPresenter
Dr. Tal Sholklapper – CEO at VoltaiqDr. Tal Sholklapper has an extensive record of success as a cleantech engineer and entrepreneur. Prior to founding Voltaiq, he worked as the lead engineer on a DOE ARPA-E funded project at the CUNY Energy Institute, developing an ultra low-cost grid-scale battery. Before joining CUNY, Dr. Sholklapper co-founded Point Source Power, a low cost fuel-cell startup based on technology he developed while at Lawrence Berkeley National Laboratory and UC Berkeley, where he also did his graduate work in Materials Science and Engineering. As a Materials Postdoctoral Fellow at LBNL, he successfully led the transfer of lab-scale technology to industry partners.
Voltaiq is a proud sponsor of this event.
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Best Practices – Scaling your EV Battery Program for Optimal Effectiveness
The ability to scale a battery program for agility and efficiency is crucial, particularly within the rapidly evolving EV market. Key to achieving this scale is the use of data generated throughout battery development to inform optimal, rapid decision making. A new class of software, the Battery Intelligence System (BIS), is now in commercial production helping organizations unlock the value of their data to achieve scale. This webinar will provide an introduction to BIS and offer valuable insight on how to best leverage the data your organization is already generating to keep your battery program nimble and efficient.
This webinar will focus on the following key topics:
• A review of current industry challenges
• An introduction to Battery Intelligence Systems (BIS) that unify data and provide immediate access to data-driven insights for decision making
• A review of best practices to help teams standardize processes and increase organizational efficiency
• An overview of management tools to track and optimize battery programsPresenter
Dr. Tal Sholklapper – CEO at VoltaiqDr. Tal Sholklapper has an extensive record of success as a cleantech engineer and entrepreneur. Prior to founding Voltaiq, he worked as the lead engineer on a DOE ARPA-E funded project at the CUNY Energy Institute, developing an ultra low-cost grid-scale battery. Before joining CUNY, Dr. Sholklapper co-founded Point Source Power, a low cost fuel-cell startup based on technology he developed while at Lawrence Berkeley National Laboratory and UC Berkeley, where he also did his graduate work in Materials Science and Engineering. As a Materials Postdoctoral Fellow at LBNL, he successfully led the transfer of lab-scale technology to industry partners.
Voltaiq is a proud sponsor of this event.
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