Learn how the energy & utilities industry is adapting to key trends like AI, electric vehicles, renewables, and the challenges they face going into 2026.
Оглавление
С AI data centers, EV charging and renewables on the rise, the energy & utilities industry is facing a surging electricity demand.
Коммунальные службы переживают критический момент, когда внедрение инноваций уже не является чем-то необязательным - оно необходимо, чтобы оставаться впереди.
Давайте рассмотрим тенденции, определяющие эту трансформацию, и то, как коммунальные службы могут эффективно их использовать.
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 тарификация на основе использования, 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
- Данные в режиме реального времени: Умные счетчики предоставляют данные о потреблении в режиме реального времени, позволяя коммунальным службам обнаруживать перебои и точно определять их местоположение для более быстрого ремонта
- AI & Machine learning: Enables AI predictive maintenance and load forecasting.
- Поддержка ответного спроса: AMI позволяет коммунальным службам посылать сигналы во время пикового спроса, побуждая пользователей снизить потребление. Дополнительно, дозированное использование enables precise tracking of energy consumption, ensuring fair and transparent billing based on actual usage.
- EV charging: Enables Динамическая балансировка нагрузки, интеллектуальная зарядка, 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.
Как искусственный интеллект оптимизирует работу коммунальных служб:
- Forecast demand: AI tools balance supply and demand in real time, preventing grid overloads.
- Предиктивное обслуживание: AI anticipates equipment failures, minimizing downtime and costly repairs.
- Персонализация клиентов: Данные, полученные в результате анализа, позволяют коммунальным службам предоставлять индивидуальные рекомендации и решения для выставления счетов.
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, () 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.
Инновации и ключевые проблемы в энергетике и коммунальном хозяйстве
Сайт 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 |
|---|---|---|---|
| Африка | 75% | 1% | 24% |
| Азия | 70% | 5% | 25% |
| World | 59% | 9% | 32% |
| Океания | 58% | 0% | 42% |
| Северная Америка | 56% | 16% | 28% |
| Европа | 40% | 21% | 39% |
| South America | 22% | 2% | 76% |
Источник: 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) и 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.
Динамическое ценообразование
Модели ценообразования с фиксированной ставкой устарели в современном энергетическом ландшафте. Вот почему динамическое ценообразование is a win-win for utilities and consumers.
It reflects real-time conditions, creating a more balanced and efficient system.
Модели динамического ценообразования для коммунальных служб:
- Ценообразование в режиме реального времени: Adjusts rates based on grid capacity and renewable energy availability.
- Ценообразование по времени использования: Encourages off-peak energy usage by offering lower rates.
- Многоуровневое ценообразование: Rewards efficient energy consumption with reduced costs.
Основные преимущества динамического ценообразования:
- Reduces grid strain during peak periods.
- Helps consumers save money with smarter energy choices.
- Promotes efficient energy use и 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.
Функции Smart Grid для современных коммунальных служб:
- Датчики IoT: Provide real-time grid performance data for proactive management.
- Обнаружение неисправностей: Quickly identify and resolve issues, minimizing outages.
- Системы реагирования на спрос: Dynamically adjust energy supply to meet changing demands.
- Artificial Intelligence: Forecasting weather events, power spikes and outages.
Влияние "умных сетей":
- Seamless integration of renewable energy sources into the grid.
- Enhanced reliability and reduced operational disruptions.
- Greater energy efficiency and sustainability.
Интеграция электромобилей (EV)
С ростом числа электромобилей растет и нагрузка на инфраструктуру электросетей. Коммунальные службы должны адаптироваться к EV charging solutions при сохранении стабильности сети.
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?” на “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 и peak load management to grid operators.
Furthermore, EVs are the perfect testbed for next-gen electricity pricing.
Сайт 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.
Стратегии эффективной интеграции EV:
- Системы управления зарядкой: Сбалансируйте нагрузку на сеть, оптимизируя графики зарядки
- Модели динамического ценообразования: Поощряйте внепиковую зарядку с помощью переменных тарифов на электроэнергию
- Подключение к электросети: Бесшовная интеграция инфраструктуры EV с энергетическими системами для предотвращения перегрузок
IoT в управлении энергопотреблением
Сайт Интернет вещей (IoT) преобразует коммунальное хозяйство, обеспечивая мониторинг и контроль в режиме реального времени.
Ключевые приложения IoT в управлении энергией:
- Умные устройства: Термостаты и мониторы энергии позволяют потребителям оптимизировать энергопотребление
- Мониторинг в режиме реального времени: Коммунальные службы получают действенные сведения для повышения эффективности и сокращения отходов
- Интеграция возобновляемых источников энергии: IoT помогает управлять изменчивостью возобновляемых источников энергии
Преимущества IoT для поставщиков энергии и коммунальных услуг:
- 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.
Интегрируя передовой биллинг, аналитику искусственного интеллекта и динамические модели ценообразования, мы помогаем коммунальным службам автоматизировать весь процесс перехода от счетчика к кассе с помощью полностью настраиваемой мультисервисной биллинговой платформы.
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.
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