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Transformer Software & Technologies


Optimal Transformer Efficiency Using Weighted Average

In order to improve the efficiency of electrical distribution in commercial buildings, the US Department of Energy (DOE) introduced regulations with more stringent minimums on transformer efficiencies in January 2016. This was covered under the Code of Federal Regulations 10 CFR Part 431.192 and...

EFACEC case study

The EFACEC Group is leading the supply of integrated solutions and equipment in the market of power generation, transmission and distribution. The Group forms a complete value chain, from building turnkey projects to equipment manufacture, where integrated solutions are developed and designed in...

The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration trends to identify insulation degradation, detect anomalies, and prevent costly power transformer failures before they occur. Why AI Integration into Transformer Diagnostics...

Transformer Software & Technologies

Smart Transformers

Maximizing continuous and reliable power output, extending the life of a power transformer, and reducing maintenance costs are just a few of the benefits motivating electric utilities to move toward buying a “smart transformer”, electrical equipment integrated with Smart Grid-enabling software systems.

Smart transformers combine current competitive technology with data acquisition for monitoring power transformer critical parameters, ultimately maximizing employees’ productivity while minimizing expenses. Additionally, smart transformers integrated into Smart Grid-enabling software systems can...

Related Articles


The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration trends to identify insulation degradation, detect anomalies, and prevent costly power transformer failures before they occur. Why AI Integration into Transformer Diagnostics...

Fig.1: Fundamental model with different layers of conductivities (S/m) assigned along with color codes

Computer Simulation of Grounding Applications

Computer simulation of grounding applications are important for power generation and distribution. INTEGRATED’s proprietary Boundary Element Method (BEM) solver simulates various types of grounding scenarios very efficiently, especially in the HVDC domain of power/energy industries and in...

Smart Transformers: Enhancing Grid Efficiency and Reliability

The evolving demands of modern power grids necessitate the adoption of advanced technologies that can provide enhanced efficiency, reliability, and flexibility. Smart transformers are at the forefront of this technological revolution, offering a range of capabilities that significantly improve the...


The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration trends to identify insulation degradation, detect anomalies, and prevent costly power transformer failures before they occur. Why AI Integration into Transformer Diagnostics...

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