AI-Driven Energy Management

AI-driven energy management uses machine learning algorithms to automatically optimize a battery storage system's charging and discharging decisions. It works proactively (predictive management): based on forecasts for weather, electricity prices, and consumption, it plans charging and discharging in advance instead of only reacting to current values. Unlike static rules, the system continuously adapts to changing conditions and pursues multiple goals at once, such as self-consumption, peak shaving, and energy trading.