Artificial Intelligence in Electrical Engineering – MCQs – EE

1. What is the primary goal of Artificial Intelligence (AI) in Electrical Engineering?
(A) To enable machines to perform tasks that require human intelligence
(B) To replace all electrical systems with mechanical ones
(C) To increase manual monitoring
(D) To reduce automation levels

2. Which branch of AI focuses on enabling machines to learn from data?
(A) Machine Learning (ML)
(B) Control Theory
(C) Power Electronics
(D) Network Analysis

3. In power systems, AI is commonly used for:
(A) Load forecasting and fault detection
(B) Manual circuit switching
(C) Reducing voltage
(D) Designing fuses

4. An expert system in AI uses:
(A) Knowledge-based rules for decision-making
(B) Manual logic
(C) Random predictions
(D) Control relay operations

5. Which AI technique is often used for pattern recognition in electrical signals?
(A) Artificial Neural Networks (ANN)
(B) Boolean logic
(C) Differential equations
(D) Binary coding

6. AI-based load forecasting helps utilities to:
(A) Predict future energy demand
(B) Increase power losses
(C) Reduce generation efficiency
(D) Delay maintenance

7. Which of the following is a supervised learning algorithm?
(A) Support Vector Machine (SVM)
(B) K-Means Clustering
(C) Genetic Algorithm
(D) Fuzzy Inference System

8. Fuzzy logic in AI is primarily used for:
(A) Handling uncertainty and imprecise data
(B) Exact binary calculations
(C) Manual circuit design
(D) Static programming

9. Which of the following is an example of AI application in power distribution?
(A) Smart grid optimization
(B) Manual switching
(C) Circuit drawing
(D) Static transformer design

10. The term neural network is inspired by:
(A) The human brain and its neuron structure
(B) Computer buses
(C) Transmission lines
(D) Binary logic

11. In electrical engineering, AI-based control systems are mainly used for:
(A) Automatic fault correction and process optimization
(B) Manual data entry
(C) Load reduction
(D) Increasing manual work

12. Which AI algorithm is suitable for non-linear system modeling?
(A) Neural Networks
(B) Linear Regression
(C) Ohm’s Law
(D) Fourier Series

13. The backpropagation algorithm is used in:
(A) Training neural networks
(B) Signal filtering
(C) Power factor correction
(D) Load shedding

14. Genetic Algorithms (GA) are based on:
(A) Evolutionary principles such as selection and mutation
(B) Binary addition
(C) Matrix inversion
(D) Power control

15. AI helps in fault diagnosis by:
(A) Analyzing real-time system data and detecting anomalies
(B) Manual equipment testing
(C) Isolating hardware components only
(D) Increasing system faults

16. Which AI approach mimics the way humans make decisions?
(A) Fuzzy logic systems
(B) Fourier transforms
(C) Power system models
(D) Relay logic circuits

17. Reinforcement Learning (RL) is based on:
(A) Learning from rewards and penalties
(B) Static data sets
(C) Manual programming
(D) Direct equations

18. AI-based predictive maintenance is achieved by:
(A) Using sensor data to predict equipment failure
(B) Periodic manual inspection
(C) Random testing
(D) Isolating systems

19. In renewable energy systems, AI can:
(A) Optimize energy output and storage
(B) Reduce solar efficiency
(C) Ignore weather data
(D) Operate manually

20. Which AI method is best for fault classification in power systems?
(A) Artificial Neural Networks (ANN)
(B) PID control
(C) Boolean logic
(D) Linear regression only

21. AI-based energy management systems help in:
(A) Reducing energy waste and improving efficiency
(B) Increasing losses
(C) Ignoring demand fluctuations
(D) Manual reporting

22. In industrial automation, AI is mainly used for:
(A) Process optimization and predictive control
(B) Manual supervision
(C) Static operations
(D) Hardware repair

23. AI techniques like Deep Learning are effective for:
(A) Complex pattern recognition and image analysis
(B) Simple arithmetic only
(C) Frequency measurement
(D) Circuit analysis

24. In smart grids, AI algorithms are applied for:
(A) Load balancing and demand-side management
(B) Manual metering
(C) Disabling automation
(D) Random switching

25. Fuzzy controllers are commonly used in:
(A) Motor speed control systems
(B) Static relays
(C) Power cables
(D) Battery chargers only

26. Which AI technique is most useful for short-term load forecasting?
(A) Artificial Neural Networks (ANN)
(B) Boolean algebra
(C) Finite Element Analysis
(D) Logic gates

27. The combination of AI and IoT is referred to as:
(A) Artificial Intelligence of Things (AIoT)
(B) Intelligent Circuits
(C) Digital Control
(D) Smart Energy

28. Which of the following is an example of AI in electrical machines?
(A) Intelligent fault detection in motors
(B) Manual temperature checks
(C) Hand-operated speed control
(D) Static voltage regulation

29. The main benefit of AI in power systems is:
(A) Improved reliability and decision-making
(B) Increased manual errors
(C) Reduced automation
(D) High operational delay

30. The ultimate objective of AI in Electrical Engineering is to:
(A) Create intelligent, efficient, and self-optimizing systems
(B) Replace automation with manual work
(C) Simplify calculations only
(D) Reduce innovation in control systems