III B.Tech, EEE, NNFL Online Quiz
NNFL Online Quiz on Artificial Intelligence and Load Forecasting
Welcome to the NNFL Online Quiz, designed to test your knowledge of Artificial Intelligence and its applications in Electrical Load Forecasting. This comprehensive quiz comprises 62 carefully curated questions that cover a wide array of topics relevant to the field.
Challenge yourself with questions on:
- Artificial Neural Networks (ANN)
- Control Systems
- Fuzzy Logic
- Data Mining
- Load Forecasting Techniques
What is Artificial intelligence?
Putting your intelligence into Computer
Programming with your own intelligence
Making a Machine intelligent
Playing a Game
A ROBOT is a?
Computer-controlled machine to do manual tasks
Execute one or more tasks automatically with speed and precision
Capable of carrying out a complex series of actions automatically
All the above
Electrical Load Forecasting is?
The process used to forecast future electric load
Given historical load and weather information and current and forecasted weather information.
The predicting of electrical power required to meet the short term, medium term or long term demand
All the above
The medium & long term energy load forecasts are prepared based on?
Gross domestic product
population density
prices of fossil energy carriers, consumer sector sale exception
all the above
----------- & immediate forecast take into account normal consumer behavior, peak demands for electric energy, seasonal factors and weather forecast. ?
long
short term
medium term
short and medium term
-----------software develops variety of scenarios & then applies respective energy need to each variable of forecast. ?
short term forecast
alyuda load fore casting
medium term forecasting
None
CECF means ?
covelent energy consumption forecast technology
coherent energy consumption forecast technology
cooperative energy consumption forecast technology
coordination energy consumption forecast technology
Histirically alyuda load forecasting proven significant bottom line retuns due to additional precision in forecast ranges from?
US $ 15000-10000 per day
US $ 20000-22000 per day
US $ 250000-1000000 per day
none of the above
Alyuda load forecasting software deployed as a ----------- ?
decision support middleware
covelent energy consumption
alyuda fore cast
population
Pattern classification applications are?
speech recognition & speech synthesis
radar/sonar signals
credit card applications screening
all the above
The control system application is?
Speech recognition& speech synthesis
data mining information retrieval
ECG classification
Engineering time series forecasting
ANN are family of models inspired by?
engineering applications
biological neural network
Network function
all the above
Neural network models in artificial intelligence are usually referred to as?
artificial neural network
geometric network
training network
all the above
---------------mimics certain aspects of information technology processing & physical structure of the brain with a web of neural connection?
Engineering network
system network
artificial neural network
none of the above
Distributed memory is a characteristic of -----------?
Forecasting
artificial neural network
Engineering network
none of the above
The field of system identification uses statical method to build?
Control models
Dynamic models
Artificial models
Mathematical models of dynamic system
System identification techniques can utilize the both input and output data of------------?
eigen system realization algorithm
artificial network
hysterias technique
None of the above
The captured digits are first normalized to fill an area consisting of -----black and white pixels?
20×40
40×60
60×80
none
BPNN means?
back propagation neural networks
black propagation neural networks
back population neural network
Black population neural network
The example database used to train & test the network consists of -----isolated numerical digitized from hand written zip codes that appear on U.S main envelops?
9679
9999
9298
None
In case with more than one element having maximum value firing defuzzification, the following should be taken?
Mean value of maxima
Mean value of minima
Centroid
Mode value
The Cartesian product of A1 = {a, b}, A2 = {1, 2} A1 X A2 is?
{(a, b, 1, 2)}
{(a, 1), (b, 2)}
{(a, 1), (b, 1), (a, 2), (b, 2)}
none
The values of the membership is represented by?
Discrete set
Degree of truth
Probabilities
both b & c
Fuzzy logic is usually represented as?
IF-THEN-ELSE rules
IF-THEN rules
both a & b
none of the above
This is not one of the metod of defuzzification?
centre of gravity
Least mean square
mean of maxima
Height method
------------- is used to optimize the existing anti-braking system to achieve a better performance in all braking conditions?
neural networks
Partial swarm optimization
fuzzy logic
all of the above
---------------corporation developed the first anti-braking system(ABS) for aeroplanes as a mechanical systems?
braking
boeing
Locking
biological
The medium size fuzzy logic system is using only about ------ space?
4KB ROM
2KB ROM
6KB ROM
8KB ROM
The stability of a fuzzy ABS was considered to be stable for any slack value in the interval from-------?
0.1 to 0.2
0.05 to 0.25
0.3 to 0.4
0.4 to 0.5
-------------deals with uncertainity in engineering by attaching degree of certainity to answer to a logical question. ?
neural networks
Partial swarm optimization
fuzzy logic
crisp set
I.T.S means--- ?
involving transfer system
intelligent transportation system
involving transportation system
intelligent transfer system
The guidance for membership function for fuzzysets is provided by?
Zadeh’s principle of incompatibility
Zadeh’s principle of compatibility
Mamdani principle of incompatibility
Zadeh’s principle of compatibility
In intelligent automatic transmission , driver pushes down the accelerator peddle with in ----sec?
1-1.5
1-2
1-3
1.5-2
-----------techniques can manages the vagueness and ambiguity efficiently?
fuzzy
gradient
both a&b
none of the above
The coding of image data is called as-------------?
defuzzification
Fuzzification
Modification
Clustering
The decoding of image data results are done in---- ?
defuzzification
Fuzzification
Modification
Clustering
The fuzzy set theory is used in induction process when dealing with----- ?
data mining
image processing
control applications
all the above
The imperfection in image processing is due to?
Grayness ambiguity
Geometrical fuzziness
vague knowledge
all the above
The linguistic model of a process is commonly made of a series of ----- rules?
If then
If else
For end
If end
A model was established which estimates brake rate is ?
fuzzy logic
crisp set
zadeh
none of the above
{"name":"III B.Tech, EEE, NNFL Online Quiz", "url":"https://www.quiz-maker.com/QPREVIEW","txt":"Welcome to the NNFL Online Quiz, designed to test your knowledge of Artificial Intelligence and its applications in Electrical Load Forecasting. This comprehensive quiz comprises 62 carefully curated questions that cover a wide array of topics relevant to the field.Challenge yourself with questions on:Artificial Neural Networks (ANN)Control SystemsFuzzy LogicData MiningLoad Forecasting Techniques","img":"https:/images/course1.png"}
More Surveys
Background of Attendees
8419
Chart visualization 101
12622
Data Intelligence Team Weekly Fair
9413
Transformer Basics Survey
10514
Let's know more about you
4265
ISO 45001 Introduction Survey
4218
Know about IoT
10521
CS FOLDER PROJECT
1589
Purchasing Document Menu Search Filter
3225
Excel Training
5229
Shared tools
6320
Slave appearance
100