Learn how the energy & utilities industry is adapting to key trends like AI, electric vehicles, renewables, and the challenges they face going into 2026.
Índice
Con AI data centers, EV charging and renewables on the rise, the energy & utilities industry is facing a surging electricity demand.
Las empresas de servicios públicos se encuentran en un momento crítico en el que adoptar la innovación ya no es opcional, sino necesario para mantenerse a la vanguardia.
Sumerjámonos en las tendencias que dan forma a esta transformación y en cómo las empresas de servicios públicos pueden aprovecharlas eficazmente.
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 facturación basada en el uso, 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
- Datos en tiempo real: Los contadores inteligentes proporcionan datos de consumo en tiempo real, lo que permite a las empresas de servicios públicos detectar los cortes de suministro y localizar su ubicación para realizar reparaciones más rápidamente
- AI & Machine learning: Enables AI predictive maintenance and load forecasting.
- Apoyo a la respuesta a la demanda: El AMI permite a las empresas de servicios públicos enviar señales durante los picos de demanda, animando a los usuarios a reducir el consumo. Además, uso medido enables precise tracking of energy consumption, ensuring fair and transparent billing based on actual usage.
- EV charging: Enables Equilibrio dinámico de la carga, carga inteligente, 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.
Cómo la IA optimiza las operaciones de los servicios públicos:
- Forecast demand: AI tools balance supply and demand in real time, preventing grid overloads.
- Mantenimiento predictivo: AI anticipates equipment failures, minimizing downtime and costly repairs.
- Personalización del cliente: Los conocimientos basados en datos permiten a las empresas de servicios públicos ofrecer recomendaciones y soluciones de facturación a medida
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, el 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.
Innovaciones y retos clave en energía y servicios públicos
El 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 |
|---|---|---|---|
| África | 75% | 1% | 24% |
| Asia | 70% | 5% | 25% |
| World | 59% | 9% | 32% |
| Oceanía | 58% | 0% | 42% |
| América del Norte | 56% | 16% | 28% |
| Europa | 40% | 21% | 39% |
| South America | 22% | 2% | 76% |
Fuente: 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) y 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.
Precios dinámicos
Los modelos de precios a tanto alzado están anticuados en el panorama energético actual. Por eso precios dinámicos is a win-win for utilities and consumers.
It reflects real-time conditions, creating a more balanced and efficient system.
Modelos de precios dinámicos para empresas de servicios públicos:
- Precios en tiempo real: Adjusts rates based on grid capacity and renewable energy availability.
- Precios por tiempo de uso: Encourages off-peak energy usage by offering lower rates.
- Precios escalonados: Rewards efficient energy consumption with reduced costs.
Principales ventajas de la fijación dinámica de precios:
- Reduces grid strain during peak periods.
- Helps consumers save money with smarter energy choices.
- Promotes efficient energy use y 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.
Funciones de red inteligente para empresas de servicios públicos modernas:
- Sensores IoT: Provide real-time grid performance data for proactive management.
- Detección de fallos: Quickly identify and resolve issues, minimizing outages.
- Sistemas de respuesta a la demanda: Dynamically adjust energy supply to meet changing demands.
- Artificial Intelligence: Forecasting weather events, power spikes and outages.
El impacto de las redes inteligentes:
- Seamless integration of renewable energy sources into the grid.
- Enhanced reliability and reduced operational disruptions.
- Greater energy efficiency and sustainability.
Integración de los vehículos eléctricos
A medida que crece la adopción del VE, también lo hace la presión sobre la infraestructura de la red. Las empresas de servicios públicos deben adaptarse a EV charging solutions manteniendo al mismo tiempo la estabilidad de la red.
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?” a “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 y peak load management to grid operators.
Furthermore, EVs are the perfect testbed for next-gen electricity pricing.
El 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.
Estrategias para una integración eficaz del VE:
- Sistemas de gestión de la carga: Equilibrar las cargas de la red optimizando los horarios de carga
- Modelos dinámicos de fijación de precios: Fomentar la recarga fuera de las horas punta con tarifas eléctricas variables
- Conectividad a la red: Integrar a la perfección la infraestructura de VE con los sistemas energéticos para evitar sobrecargas
IoT en la gestión de la energía
El Internet de los objetos (IoT) está transformando los servicios públicos al permitir la supervisión y el control en tiempo real de todas las operaciones.
Aplicaciones clave del IoT en la gestión de la energía:
- Dispositivos inteligentes: Los termostatos y los monitores de energía permiten a los consumidores optimizar el uso de la energía
- Monitorización en tiempo real: Las empresas de servicios públicos obtienen información práctica para mejorar la eficiencia y reducir los residuos
- Integración de las energías renovables: La IO ayuda a gestionar la variabilidad de las fuentes de energía renovables
Beneficios del IoT para los proveedores de energía y servicios públicos:
- 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.
Mediante la integración de la facturación avanzada, los análisis de IA y los modelos de precios dinámicos, ayudamos a las empresas de servicios públicos a automatizar todo su proceso contador-efectivo con una plataforma de facturación multiservicio totalmente configurable.
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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