SeetaLabs’ digital destressing of energy & power sector
Despite COVID-19 restrictions, there is a major boost in various trends of power and energy sector. As the world embraces for this, click here to know more about the future of energy market. To make the most of it, we must translate some of the k-points from this...
Breaking in to the global transformer condition monitoring market
As soon as the DEMO portals open, there was flooding of bookings from all over the world. We saw many power sector clients asking for live sessions, support documents, and pricing policies. This was just an initial booster, but the kick was yet to come! Big Score for...
Intelligent energy storage for renewable sector using AI
Since the beginning of industrial revolution, there is an upsurge in global energy demands. Consumers are now expecting high quality and uninterrupted power supply 24/7. This puts an additional liability on the supply chain to increase energy generation sources. Due...
Renewable energy investments in Europe
Since European Union (EU) realised the abundance of renewable energy, they became global pioneers of renewable investments. There is an ongoing effort among the EU nations to increase the sustainability of renewable energy systems. They expect that renewable sources...
Machine learning for transformer diagnosis
Power transformers are critical assets of energy grids. Various operational stresses deteriorates their lifespan and often lead to their failure. Effective condition monitoring and diagnosis is the key to optimize the life and performance of such transformers. Can...
Fighting global warming using SF6 alternatives and AI
Global warming is the gradual increase in the surface temperature of earth due to excess greenhouse gas accumulation and air pollution. An ozone layer protects the earth's atmosphere from harmful ultravoilet rays and solar radiation. On the other hand, a greenhouse...
Mitigating the cyber threats to smart grids
The power industry is slowly moving towards alternate solutions to combat stringent environmental and economic deregulations. The necessity to improve the socio-economic sustainability of energy grids drives many nations to upgrade their power and energy...
New challenges in electrical asset management
In the aftermath of worldwide lockdown, there is a significant decline in the global energy demands. It has a staggering impact on traditional fossil-fuel based economies. While the industrial electricity demand reduced by 2-15%, the domestic demands have increased. ...
A quick tour in Machine Learning basics (and why it’s not Skynet)
Wikipedia defines machine learning as: “the study of computer algorithms that improve automatically through experience” This definition is very vague, and despite there not being a unique way to precisely describe the field, there are definitely better options. These...
Using AI for weather and disaster management
Artificial intelligence (AI) has offered historic solutions in realizing the dream of industry 4.0. From improving the reliability of energy distribution grids to solving energy storage issues, AI is truly unprecedented. However, one of the best ways by which AI has really affected earth sciences is by improving climate change analysis, weather prediction, detection of anomalies and assistance in decision-making.
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