Why Don't Supply-Demand and Price Align? — The New Era of Energy Optimization

AI Data Inc., a company specializing in the utilization of enterprise data and AI (Headquarters: Minato-ku, Tokyo; President: Takahito Sasaki), has launched a new energy optimization solution under its 'AI SolarPower on IDX' platform, which utilizes the 'AI Komei on IDX' optimization AI to address structural imbalances between energy supply-demand and pricing.

This solution integrates data on power generation, supply-demand, pricing, energy storage, and transactions, aiming to achieve both profit maximization and stable energy supply through optimized operations.

▼ 'AI SolarPower on IDX': AI Platform for Solar, Battery Storage, and VPP Industries

Background: Why are prices volatile even when there is enough energy?

In recent years, the energy sector has seen rapid changes including the expansion of renewable energy, advancement of power liberalization, and increased volatility in market prices. Phenomena such as price spikes despite sufficient power generation and unstable revenue despite balanced supply-demand are frequent. The core issue is a state where energy is present but not optimized.

Core Issue: Fragmented Energy Operations

While energy business functions like generation, supply-demand adjustment, market pricing, and storage are closely linked, they are currently managed in silos. This lack of overall optimization leads to increased price risk and missed revenue opportunities. The problem lies in 'insufficient operational optimization,' not energy volume.

Solution: Energy Optimization AI 'AI SolarPower on IDX'

'AI SolarPower on IDX' is an integrated AI platform that optimizes overall energy operations.

1. Data Integration (IDX): Centralizes and visualizes/analyzes various data sets. 2. AI Analysis & Forecasting: Analyzes and reports on demand, generation, and market price patterns based on accumulated data. 3. Optimization Engine: Simulates and suggests strategies for supply-demand balance, charging/discharging schedules, and price fluctuations to ensure both profitability and stability. 4. AI PMO (Execution Optimization): Performs ongoing improvements through progress management, monitoring, and KPI management.

Future Outlook

Following its success in the manufacturing, logistics, retail, and energy sectors, AI Data Inc. intends to expand its 'Optimization AI × AI PMO' framework to the HR and service industries. All industries are essentially 'optimization problems.'