As the power industry turns more automated, it becomes more vulnerable to cyber-attacks.
FREMONT, CA: Nowadays, there is a global demand for clean, cheap, reliable energy, and artificial intelligence (AI) 's use in the energy industry helps meet this need. Green electricity is the AI application with a possibly huge long-term effect, encouraging low-carbon growth.
Although renewable forms of electricity are emerging as the successors of traditional coal and gas-fired power plants, the key problem is their inconsistency. For example, a cloudy day or windless afternoons will cause power shortfalls.
That means there is a necessity for costly backup forms of power that can be switched on quickly, usually dirty diesel generators or coal plants, and manages peaks of excess generation.
AI to forecast and make energy-saving decisions
AI can forecast electricity demand, generation, and whether to reduce the need for these backup mechanisms by predicting and managing fluctuations in production.
Electricity shortfalls can be managed by briefly switching off power demand across communities by utilizing AI.
This might be shutting off thousands of refrigerators in people's homes or large demand sites, such as industrial plants. The speed and complication of this task need advanced AI. The application of AI also enables the consumer to have foresight over their energy profile for the first time.
Predictive maintenance can be done with drones to replace time-intensive and risky manual inspections. The drones are qualified with deep learning algorithms to automatically determine the flaws and predict failures without automatically interrupting operations.
Cyber attacks plague most modern industries, and the energy industry is more aimed than almost any other. AI used by cybercriminals to target the energy industry can be fatal on a huge scale. Based on a survey, the energy industry is the second most famous target for cyberattacks.
Additionally, 70% of respondents from the energy industry expressed concern that a cyber attack could cause a catastrophic failure, and nearly 100% were concerned that attacks could cause attack shutdowns.
As the power industry turns more automated, it becomes more vulnerable to cyber-attacks. AI is used to protect the grid and minimize damage from targeted attacks. As a result, there is the potential for cybercriminals to steal all sorts of information from energy data, from occupation patterns to even religion.
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