Graduation Internship - Energy Prediction @ Big Ass Battery

Remote Full-time
Your mission to graduationBig Ass Battery – yes, that is our real name – is revolutionizing energy storage one (big) battery at a time. Our flagship product? A modular industrial battery beast built for large-scale use cases like grid stabilization, industrial peak shaving, and storing all that sweet, sweet solar and wind power. Inside the belly of this beast? A Linux-based embedded system. Around it? An AI-driven cloud platform called SmartBAB (we were this close to calling it SkyNet). This platform helps our batteries act smartly by forecasting customer energy consumption and making real-time decisions. Now here’s where you come in. We’re looking for a brave student to develop and validate energy consumption forecasting models using historical usage data, weather conditions, business activity, seasonal patterns, and anything else you think the battery gods care about. Your mission; build a rock-solid, razor-sharp AI model that predicts power consumption at least 24 hours in advance. This model will be integrated into our SmartBAB cloud platform to make our batteries proactive and even more efficient. Analyze historical energy data and external data sets (weather, industry activity, lunar phases optional ) Select and fine-tune the best forecasting techniques (think: regression, Random Forest, XGBoost, deep learning – the good stuff) Validate and evaluate your models with ruthless precision Integrate & demonstrate your creation into the SmartBAB platform This all will lead to a graduation internship that delivers: A working and validated forecasting model with impressive accuracy A prototype integration within the SmartBAB cloud environment Clear documentation that validates your deliverable and sets guidelines for future development What do you have to bring next to Big Ass vibes'At Big Ass Battery, we’re looking for someone who doesn’t just get their energy from the sun. We need someone charged up (pun intended) with positive energy. So, if…

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