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

AI Data Inc. has launched 'AI SolarPower on IDX,' an energy optimization solution utilizing the 'AI Komei on IDX' optimization AI, designed to address structural disparities between supply-demand and pricing in the energy sector.
新製品NQ 82/100出典:PR Times

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  • 📰 Published: May 22, 2026 at 23:00
  • 🔍 Collected: May 22, 2026 at 14:31
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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.'

FAQ

AI SolarPower on IDXとはどのようなサービスですか?

エネルギー業界における需給と価格の乖離という構造課題を解決するための統合AIプラットフォームです。発電・需給・価格・蓄電データを一元化し、最適化エンジンとAI PMO(実行・運用支援)により収益最大化と安定供給の両立を実現します。

エネルギー業界で「需給はあるのに価格が乱れる」原因は何ですか?

エネルギー運用の最適化不足が原因です。発電・需給・市場対応といった部門が分断されており、全体最適で運用されていない構造があるため、価格変動リスクの増大や効率的な調整力の運用ができていないことが要因です。

AI SolarPower on IDXが提供する主な機能は何ですか?

データ統合(IDX)、AIによる需給・価格の分析と予測、発電・需給バランス・蓄電運用のシミュレーションと立案支援、およびPMO(運用進捗管理とKPIモニタリング)の4点です。

このソリューションの導入により期待できる効果は何ですか?

需給バランス管理の精度向上、価格変動リスクの早期検知、出力制御判断の支援によるロス削減、蓄電運用の収益改善などが期待できます。

AIデータ株式会社の今後の展開方針を教えてください。

製造、物流、小売、エネルギー業界に続き、今後は人材・サービス業界に対しても「最適化AI × AI PMO」の展開を進める方針です。