SAJ has officially launched the next-generation elekeeper AI Saving 2.0, an intelligent energy management system built on advanced AI algorithms and edge computing architecture. By deeply integrating diverse energy usage scenarios with real-time dynamic electricity pricing and weather data, it intelligently plans storage charge/discharge strategies—turning every kilowatt-hour into greater value. elekeeper builds a full-chain energy revenue loop covering generation, storage, consumption, and pricing strategies, with a fully visualized AI decision-making process that helps users shift from “spending money” to “earning money” through energy.
Accurate Forecasts, Three Flexible Modes, Visible Decision-Making
AI Saving 2.0 goes beyond single-algorithm system and evolves into a full-scenario intelligent decision center. It integrates four core self-developed algorithms—generation forecasting, load forecasting, electricity pricing forecasting, and intelligent scheduling—to deliver precise predictions and real-time adaptation to energy fluctuations and market dynamics. This end-to-end optimization framework ensures high efficiency, accuracy, and stability in energy management. Users can choose from three intelligent operation modes—Maximized Revenue, Balanced Revenue, and Self-Consumption Priority—to flexibly tailor energy strategies and achieve both higher profits and better energy efficiency.
Transparent AI Logic That Builds Trust
AI Saving 2.0 introduces a visual analytics engine that clearly reveals the logic behind every scheduling decision. Users can intuitively see why the system is charging or discharging at a particular moment—based on specific forecast data and user-defined preferences. This breaks down the traditional “black box” perception of AI, making intelligent energy management more transparent and trustworthy.
Smarter Energy Management: Greater Revenue, Greater Control
elekeeper AI Saving 2.0 delivers a three-dimensional upgrade experience: more revenue, more accurate forecasts, and smarter, easier decision-making. By optimizing strategies and dynamically allocating energy, it helps customers increase overall energy returns by up to 20%+.With four core AI algorithms, AI Saving 2.0 achieves over 90% forecasting accuracy, significantly improving economic performance — especially in scenarios like negative pricing and peak shaving. The system also introduces AI modules for dynamic pricing, virtual power plants (VPP), and load shifting, enabling "maximum profit, minimum cost, and precise balance" across complex energy applications.
Its built-in decision transparency engine makes strategic logic fully visible, while the real-time recommendation engine instantly generates personalized optimization plans—empowering users to shift from passive response to active control, and to maximize energy value and operational efficiency.
Proven in Practice, Driven by Innovation: Continuous Breakthroughs in Smart Energy
SAJ first introduced AI Saving in 2023. With over 1,000 successful commercial implementations across residential and C&I scenarios, elekeeper has proven the scalability and business value of AI in complex energy environments. Backed by an in-house AI R&D team, SAJ has established a fully autonomous AI ecosystem, ensuring fast iteration and strong data security. elekeeper helps global users build a dynamic “cost-efficiency-revenue” energy management system, driving the energy industry’s transition toward AI-powered, scenario-driven, and fully visualized smart energy management.
