
Here is a detailed article about Hokkaido Electric Power Company’s new AI-powered grid-scale battery supply and demand management service, “Enerista”:
Hokkaido Electric Power Company Launches Innovative AI-Driven Grid-Scale Battery Management Service, “Enerista”
Sapporo, Japan – August 1, 2025 – Hokkaido Electric Power Company (HEPCO) is pleased to announce the commencement of its new service, “Enerista,” a sophisticated supply and demand management system for grid-scale batteries that leverages cutting-edge Artificial Intelligence (AI) technology. This innovative service is set to revolutionize how electricity is managed and distributed across Hokkaido, aiming to enhance grid stability, optimize the utilization of renewable energy sources, and contribute to a more sustainable energy future.
“Enerista” has been developed with the objective of intelligently managing the charging and discharging of grid-scale battery storage systems. These large-capacity batteries play a crucial role in modern power grids, acting as essential tools to balance the fluctuations inherent in renewable energy generation, such as solar and wind power. By precisely forecasting electricity demand and supply, and by optimizing battery operations in real-time, “Enerista” will significantly improve the efficiency and reliability of Hokkaido’s power infrastructure.
The core of “Enerista” lies in its advanced AI algorithms. These algorithms are designed to analyze a vast array of data, including weather patterns, historical electricity consumption trends, electricity market prices, and the operational status of power generation facilities. Based on these analyses, the AI can predict future electricity needs and the availability of renewable energy with a high degree of accuracy. This predictive capability allows “Enerista” to make informed decisions about when to charge the batteries (during periods of surplus supply or low demand) and when to discharge them (during periods of high demand or insufficient supply), thereby ensuring a stable and consistent flow of electricity.
A key benefit of “Enerista” is its ability to maximize the integration of renewable energy. As Hokkaido continues to expand its renewable energy portfolio, the intermittency of these sources presents a significant challenge to grid stability. “Enerista” addresses this challenge by effectively storing excess renewable energy when it is generated and releasing it back to the grid when needed, effectively smoothing out the variability and enabling a higher penetration of clean energy.
Furthermore, the AI-driven approach of “Enerista” is expected to lead to significant cost efficiencies. By optimizing the charging and discharging schedules, the service can reduce the need for operating less efficient peak power plants, leading to lower overall generation costs. Additionally, by participating in electricity markets and strategically selling stored energy at opportune times, “Enerista” can generate revenue, further supporting the economic viability of grid-scale battery deployment.
HEPCO envisions “Enerista” as a cornerstone of its strategy for building a resilient and sustainable energy system. The company believes that this AI-powered service will not only bolster the reliability of power supply for its customers across Hokkaido but also contribute to national efforts to decarbonize the energy sector and combat climate change.
This launch represents a significant step forward in HEPCO’s commitment to embracing technological innovation for the betterment of society and the environment. The company is dedicated to continuously refining and enhancing the capabilities of “Enerista” to meet the evolving needs of the energy landscape.
AIを活用した系統用蓄電池需給管理サービス「Enerista(エネリスタ)」開始のお知らせ
AI has delivered the news.
The answer to the following question is obtained from Google Gemini.
北海道電力 published ‘AIを活用した系統用蓄電池需給管理サービス「Enerista(エネリスタ)」開始のお知らせ’ at 2025-08-01 01:00. Please write a detailed article about this news in a polite tone with relevant information. Please reply in English with the article only.