Learn how the energy & utilities industry is adapting to key trends like AI, electric vehicles, renewables, and the challenges they face going into 2026.
目次
とのことです。 AI data centers, EV charging and renewables on the rise, the energy & utilities industry is facing a surging electricity demand.
公益事業は、イノベーションを取り入れることがもはやオプションではなく、先を行くために必要な重要な時期にあります。
この変革を形作るトレンドと、ユーティリティ企業がそれらを効果的に活用する方法をご紹介します。
Advanced Metering Infrastructure (AMI) 2.0
Traditional metering systems often lead to inefficiencies such as billing inaccuracies and delays in accessing consumption data.
This is where AMI steps in to provide smart meters that enable accurate real-time metering.
This results in precise 利用型課金, avoids revenue leakage and provides insights for customers.
Furthermore, smart meters allow for responding to grid demand. This enables off-peak metering and communicating changes and fluctuations to customers.
AMI 2.0 has gained traction offering more frequent access to voltage values, allowing for near real-time data access.
Additionally, Non-Intrusive Load Monitoring (NILM) identifies appliances which are faulty or inefficient by analyzing their unique electricity signature.
Customers can pair their phones with AMI 2.0 smart meters to gain insights on usage and efficiency.
It’s crucial that energy providers learn from AMI 1.0 mistakes and invest money in upgrading infrastructure and not only focus on buying the hardware.
Improvements in AMI 2.0
- リアルタイムデータ： スマートメーターはリアルタイムの消費データを提供し、電力会社が停電を検知してその場所を特定し、迅速な修理を可能にします。
- AI & Machine learning: Enables AI predictive maintenance and load forecasting.
- デマンドレスポンスのサポート： AMIを利用することで、電力会社は需要ピーク時に信号を送り、利用者に消費を抑えるよう促すことができます。さらに 従量制 enables precise tracking of energy consumption, ensuring fair and transparent billing based on actual usage.
- EV charging: Enables 動的負荷分散, スマートチャージ, demand response automation.
Artificial Intelligence (AI) & Machine Learning (ML)
According to research, 74% of energy companies adopt some sort of AI.
While the energy sector is beginning to adopt AI, many utilities lag in leveraging its full potential.
AIがユーティリティ事業を最適化する方法
- Forecast demand: AI tools balance supply and demand in real time, preventing grid overloads.
- 予知保全： AI anticipates equipment failures, minimizing downtime and costly repairs.
- 顧客のパーソナライゼーション： データ主導の洞察により、ユーティリティ企業はニーズに合わせた提案と課金ソリューションを提供できます。
Challenges Companies Face Regarding AI
The emergence of AI data centers poses multiple challenges for energy providers.
Companies must scale infrastructure to respond to the demand of running and cooling servers for training AI models.
Additionally, その U.S DOE warns of “data poisoning”, where attackers might feed the AI false sensor data to shut down crucial components.
Also, since AI is trained on specific scenarios, it might make illogical decisions when faced with scenarios it hasn’t seen yet.
Digital Twin Technology
“Digital twin” software (real‐time virtual replicas of plants, grids, pipelines, or water systems) is maturing in utilities.
These virtual replicas allow for simulating changes or failures and how systems react to these factors without real-world risks.
エネルギーと公益事業におけるイノベーションと主要課題
のことです。 EY Future of Energy Survey reveals that 62% of utility companies claim to be utilizing digital twins, only 11% feel that these technologies are meeting their expectations.
Developments in Digital Twin Software
- AI and ML: Newer software uses AI to more accurately simulate environments by being trained on real-world data.
- Real-time access to IoT devices: This allows DT to access actual sensors and devices instead of simulated ones to construct accurate environments.
- Cloud-native platforms: DT software is being developed on the cloud, allowing for easier integration and lowers time-to-value.
Improving interoperability between systems, introducing standards, increasing shared understating of how digital twins work is the main goal going forward.
Renewable Energy
Renewables are set to surpass coal-fired generation in 2026.
This shifts the market focus away from coal and towards renewables; this is reflected in software trends.
The figure below shows electricity generation from fossil fuels, nuclear energy and renewables by continent in 2024.
| Continent | Fossil | Nuclear | Renewable |
|---|---|---|---|
| アフリカ | 75% | 1% | 24% |
| 亜細亜 | 70% | 5% | 25% |
| World | 59% | 9% | 32% |
| オセアニア | 58% | 0% | 42% |
| 北アメリカ | 56% | 16% | 28% |
| ヨーロッパ | 40% | 21% | 39% |
| South America | 22% | 2% | 76% |
ソースはこちら Our World In Data
Renewable energy is unpredictable; we can’t generate wind or switch on the sun on demand, like we can with fossil fuels.
It’s also highly dependent on the location. Transmission of renewables becomes a challenge when plants are so decentralized.
This is why Virtual Power Plants (VPP) と Distributed Energy Resources Management Systems (DERM) are shifting towards cloud-native SaaS solutions tailored for renewables.
The focus is to make renewable energy storage and transmission reliable and efficient.
This is mostly done with AI and digital twins to predict demand, scale power plants and simulate changes and disasters.
Additionally, Energy as a Service (EaaS) and Utility as a Service (UaaS) are on the rise.
ダイナミックプライシング
今日のエネルギー事情において、定額料金モデルは時代遅れです。だからこそ ダイナミックプライシング is a win-win for utilities and consumers.
It reflects real-time conditions, creating a more balanced and efficient system.
公益事業のためのダイナミックプライシングモデル：
- リアルタイム価格設定： Adjusts rates based on grid capacity and renewable energy availability.
- 利用時間価格： Encourages off-peak energy usage by offering lower rates.
- 段階的な価格設定： Rewards efficient energy consumption with reduced costs.
ダイナミックプライシングの主なメリット
- Reduces grid strain during peak periods.
- Helps consumers save money with smarter energy choices.
- Promotes efficient energy use と grid stability.
The introduction of dynamic pricing opens up new market opportunities.
Smart Grid Modernization
The rise of distributed energy (solar panels, batteries, EVs, etc.) is leading utilities to adopt sophisticated grid-management software and Virtual Power Plant (VPP) platforms.
Modern smart grid software integrates demand response, inverter controls, storage dispatch, and microgrids to keep the grid balanced.
現代の公益事業のためのスマートグリッド機能：
- IoTセンサー： Provide real-time grid performance data for proactive management.
- 故障検出： Quickly identify and resolve issues, minimizing outages.
- 需要応答システム： Dynamically adjust energy supply to meet changing demands.
- Artificial Intelligence: Forecasting weather events, power spikes and outages.
スマートグリッドの影響
- Seamless integration of renewable energy sources into the grid.
- Enhanced reliability and reduced operational disruptions.
- Greater energy efficiency and sustainability.
電気自動車（EV）の統合
EVの普及が進むにつれ、送電網のインフラにも負担がかかります。公益事業者は EV charging solutions グリッドの安定性を維持しながら。
Trends in EVs are indirectly affecting the decisions that energy and utility providers make.
The question for utility providers has shifted from “How do we survive this demand?” まで “How can we utilize this demand to our advantage?”.
On the one hand, technologies like V2G pose a challenge when it comes to regulatory compliance and grid compatibility.
On the other hand, however, they also provide benefits like grid stabilization と peak load management to grid operators.
Furthermore, EVs are the perfect testbed for next-gen electricity pricing.
のことです。 ChargeWise California pilot project found that dynamic price signals, combined with automated charging management, achieve up to 98% EV charging load delivered off-peak.
Above 60-70% typically achieved by time-of-use (ToU) tariffs.
Pricing engines like Tridens Monetization enable effortless configuring of complex tariffs.
効果的なEV統合のための戦略：
- 充電管理システム： 充電スケジュールの最適化によるグリッド負荷のバランス
- ダイナミックプライシングモデル： 電気料金の変動制によるオフピーク充電の促進
- グリッド接続： EVインフラとエネルギーシステムをシームレスに統合し、過負荷を防止
エネルギー管理におけるIoT
のことです。 モノのインターネット(IoT) は、業務全般にわたるリアルタイムの監視と制御を可能にすることで、公益事業に変革をもたらします。
エネルギー管理における主なIoTアプリケーション：
- スマートデバイス： サーモスタットとエネルギーモニターは、消費者のエネルギー使用を最適化します。
- リアルタイムモニタリング： 公益事業者は実用的な洞察を得て、効率を高め、無駄を削減します。
- 再生可能エネルギーの統合 IoTが再生可能エネルギーの変動管理に貢献
エネルギーおよび公益事業者にとってのIoTの利点：
- Reduces carbon footprint by optimizing resource management and energy consumption
- Reduces energy waste and operational costs
- Increases transparency and control for both utilities and consumers
- Supports sustainability goals through better resource management
Choosing a Modern Monetization Provider
At Tridens Technology, we empower energy and utility companies with Tridens Monetization.
高度な課金、AI分析、ダイナミックプライシングモデルを統合することで、ユーティリティ企業が完全に設定可能なマルチサービス課金プラットフォームでメーターから現金化までのプロセス全体を自動化できるよう支援します。
Our customers benefit from real-time charging and invoicing, enabling instant billing based on usage or time.
Advanced rate management tools let you create and manage complex pricing structures with ease, including usage-based and dynamic pricing models.
