Dan's Biz Bookshelf: 'Move Your Bus'
Driving Innovation: Direct Imaging vs. Conventional Exposure
It’s Only Common Sense: Selling to Today's Generation of Buyers
Energy and Utility Companies Increasingly Leverage AI to Harness the Power of Renewable Energy Sources
December 14, 2018 | Frost & SullivanEstimated reading time: 1 minute
Artificial intelligence (AI), along with a slew of advanced technologies such as machine learning, deep learning, and advanced neural networks, has demonstrated huge potential to transform the energy and utilities sector. With decarbonization, decentralization, and the rollout of novel technologies, utilities, independent power producers (IPPs), and other energy companies are employing AI to manage the imbalance in demand and supply caused by the growing share of renewable energy sources.
Frost & Sullivan’s recent analysis, Impact of Artificial Intelligence (AI) on Energy and Utilities, 2018, includes a detailed analysis of current and future applications of AI across the segments of renewables management, demand management, and infrastructure management. It examines technology, geographical, as well as industry trends, key companies that dominate the global AI market, and presents use cases with specific applications of AI.
"In combination with other technologies like Big Data, cloud, and Internet of Things (IoT), AI can support the active management of electricity grids by improving the accessibility of renewable energy sources,” said Swagath Navin Manohar, research analyst, energy and environment.
Over the next several years, AI is expected to boost efficiencies across the renewable energy sector by automating operations in the solar and wind industries. It will also allow utilities and IPPs to launch new business and service models.
"In addition to making the electricity system intelligent and flexible, AI algorithms help utilities and energy companies understand and optimize consumer behavior and manage energy consumption across different sectors," noted Manohar. "Meanwhile, complex machine learning algorithms combined with real-time weather data from satellites, ground-based observation, and climate models can be used to forecast the electricity generated by RES like wind, solar, and ocean."
AI-based applications can create further revenue opportunities for the energy and utility sector by:
- Empowering software applications to analyze large data sets, identifying patterns, detecting anomalies, and making precise predictions.
- Aiding the development of smart applications that can autonomously make accurate decisions based on learning. This drives AI’s integration with a wide range of applications.
- Enabling customer-centric solutions that understand evolving customer needs and make automatic recommendations.
- Using predictive analytics to improve equipment O&M and predict downtime, which can extend the lifetime of the equipment.
- Facilitating active customer participation in demand-response programs using game theory algorithms and leveraging blockchain to protect data.
Share on:
Suggested Items
Specially Developed for Laser Plastic Welding from LPKF
06/25/2025 | LPKFLPKF introduces TherMoPro, a thermographic analysis system specifically developed for laser plastic welding that transforms thermal data into concrete actionable insights. Through automated capture, evaluation, and interpretation of surface temperature patterns immediately after welding, the system provides unprecedented process transparency that correlates with product joining quality and long-term product stability.
Smart Automation: The Power of Data Integration in Electronics Manufacturing
06/24/2025 | Josh Casper -- Column: Smart AutomationAs EMS companies adopt automation, machine data collection and integration are among the biggest challenges. It’s now commonplace for equipment to collect and output vast amounts of data, sometimes more than a manufacturer knows what to do with. While many OEM equipment vendors offer full-line solutions, most EMS companies still take a vendor-agnostic approach, selecting the equipment companies that best serve their needs rather than a single-vendor solution.
Keysight, NTT, and NTT Innovative Devices Achieve 280 Gbps World Record Data Rate with Sub-Terahertz for 6G
06/17/2025 | Keysight TechnologiesKeysight Technologies, Inc. in collaboration with NTT Corporation and NTT Innovative Devices Corporation (NTT Innovative Devices), today announced a groundbreaking world record in data rate achieved using sub-THz frequencies.
Priority Software Announces the New, Game-Changing aiERP
06/12/2025 | Priority SoftwarePriority Software Ltd., a leading global provider of ERP and business management software announces its revolutionary aiERP, leveraging the power of AI to transform business operations.
Breaking Silos with Intelligence: Connectivity of Component-level Data Across the SMT Line
06/09/2025 | Dr. Eyal Weiss, CybordAs the complexity and demands of electronics manufacturing continue to rise, the smart factory is no longer a distant vision; it has become a necessity. While machine connectivity and line-level data integration have gained traction in recent years, one of the most overlooked opportunities lies in the component itself. Specifically, in the data captured just milliseconds before a component is placed onto the PCB, which often goes unexamined and is permanently lost once reflow begins.