Learn how the energy & utilities industry is adapting to key trends like AI, electric vehicles, renewables, and the challenges they face going into 2026.
목차
와 AI data centers, EV charging and renewables on the rise, the energy & utilities industry is facing a surging electricity demand.
유틸리티는 혁신을 수용하는 것이 더 이상 선택이 아닌, 앞서 나가기 위한 필수 요소인 중요한 순간에 직면해 있습니다.
이러한 변화를 형성하는 트렌드와 유틸리티가 이를 효과적으로 활용할 수 있는 방법에 대해 자세히 알아보세요.
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 사용량 기반 청구, 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
- 실시간 데이터: 스마트 계량기는 실시간 소비 데이터를 제공하여 유틸리티가 정전을 감지하고 위치를 정확히 파악하여 신속하게 수리할 수 있도록 지원합니다.
- AI & Machine learning: Enables AI predictive maintenance and load forecasting.
- 수요 대응 지원: AMI는 유틸리티가 피크 수요 기간에 신호를 보내 사용자가 소비를 줄이도록 유도합니다. 또한, 계량화된 사용량 enables precise tracking of energy consumption, ensuring fair and transparent billing based on actual usage.
- EV charging: Enables 동적 부하 분산, 스마트 충전, 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.
AI가 유틸리티 운영을 최적화하는 방법:
- Forecast demand: AI tools balance supply and demand in real time, preventing grid overloads.
- 예측적 유지 관리: AI anticipates equipment failures, minimizing downtime and costly repairs.
- 고객 개인화: 데이터 기반 인사이트를 통해 유틸리티는 맞춤형 권장 사항 및 청구 솔루션을 제공할 수 있습니다.
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, 의 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.
에너지 및 유틸리티 분야의 혁신과 주요 과제
The 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 |
|---|---|---|---|
| 아프리카 | 75% | 1% | 24% |
| 아시아 | 70% | 5% | 25% |
| World | 59% | 9% | 32% |
| 오세아니아 | 58% | 0% | 42% |
| 북미 | 56% | 16% | 28% |
| 유럽 | 40% | 21% | 39% |
| South America | 22% | 2% | 76% |
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) 그리고 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.
동적 가격 책정
오늘날의 에너지 환경에서는 정액제 요금 모델은 시대에 뒤떨어진 방식입니다. 그렇기 때문에 동적 가격 책정 is a win-win for utilities and consumers.
It reflects real-time conditions, creating a more balanced and efficient system.
유틸리티를 위한 동적 가격 모델:
- 실시간 가격: Adjusts rates based on grid capacity and renewable energy availability.
- 사용 시간 요금제: Encourages off-peak energy usage by offering lower rates.
- 계층별 요금제: Rewards efficient energy consumption with reduced costs.
동적 가격 책정의 주요 이점:
- Reduces grid strain during peak periods.
- Helps consumers save money with smarter energy choices.
- Promotes efficient energy use 그리고 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.
최신 유틸리티를 위한 스마트 그리드 기능:
- IoT 센서: Provide real-time grid performance data for proactive management.
- 장애 감지: Quickly identify and resolve issues, minimizing outages.
- 수요 대응 시스템: Dynamically adjust energy supply to meet changing demands.
- Artificial Intelligence: Forecasting weather events, power spikes and outages.
스마트 그리드의 영향:
- Seamless integration of renewable energy sources into the grid.
- Enhanced reliability and reduced operational disruptions.
- Greater energy efficiency and sustainability.
전기 자동차(EV) 통합
전기차 보급이 증가함에 따라 전력망 인프라에 대한 부담도 커지고 있습니다. 유틸리티는 다음에 적응해야 합니다. EV charging solutions 그리드 안정성을 유지하면서.
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?” 에 “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 그리고 peak load management to grid operators.
Furthermore, EVs are the perfect testbed for next-gen electricity pricing.
The 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.
효과적인 EV 통합을 위한 전략:
- 충전 관리 시스템: 충전 일정을 최적화하여 그리드 부하 균형 맞추기
- 동적 가격 모델: 가변 전기 요금으로 사용량이 적은 시간대의 충전을 장려하세요.
- 그리드 연결: EV 인프라와 에너지 시스템을 원활하게 통합하여 과부하 방지
에너지 관리의 IoT
The 사물 인터넷(IoT) 는 운영 전반에 걸쳐 실시간 모니터링 및 제어를 지원하여 유틸리티를 혁신하고 있습니다.
에너지 관리의 주요 IoT 애플리케이션:
- 스마트 장치: 온도 조절기와 에너지 모니터를 통해 소비자가 에너지 사용을 최적화할 수 있습니다.
- 실시간 모니터링: 유틸리티는 실행 가능한 인사이트를 확보하여 효율성을 높이고 낭비를 줄입니다.
- 재생 가능한 통합: 재생 에너지원의 변동성을 관리하는 데 도움이 되는 IoT
에너지 및 유틸리티 제공업체를 위한 IoT 혜택:
- 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.
고급 청구, AI 분석, 동적 가격 모델을 통합하여 완벽하게 구성 가능한 멀티서비스 청구 플랫폼을 통해 유틸리티가 전체 계량기에서 현금으로 전환하는 프로세스를 자동화할 수 있도록 지원합니다.
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.
