survey in datamining

1. SURVEY ON USE OF DATAMINING
IN ELECTRICAL FIELD

2. AGENDA
 Electricity and its usage
 Datamining
 Datamining in machine learning
 Datamining in electricity usage
 Consumption of electricity
 Survey on consumption of electricity by datamining
algorithms
 New idea for electrical consumption using datamining
algorithm
 Future scope and conclusion

3. ELECTRICITY AND ITS
USAGE
• Electricity is a physical phenomena
associated with the presence and
motion of electric charge.
The electricityplaysmajorrole in everyfield
 Public place
 Educational institutions
 Research centres
 Medical science
 Entertainment purpose
 Agriculture
 Space research centres
 Engineering
 Sports etc..,

4. DATAMINING
In today’s world Data Plays Major role in
various field and we mine that data to get
Useful information for Future use
 Data mining is used to mine these data which
in turns give knowledge on the data and it can
give different patterns of data
Data mining is the step of the "knowledge
discovery in databases process”, or KDD

5. DATAMINING IN MACHINE
LEARNING
Machine learning, Artificial intelligence , Data
mining are all leaves of same tree
Machine learning started to grow since 1990s
Machine learning borrowed model methods from
statistics and probability theory
It has ability to
 increase digital information
 Transmit data
Understading the concepts soon

6. DATAMININGIN
ELECTRICITY USAGE
 Electricity market price forecasting
 Used to manage the meter Data
 Tracking end user usage paten
 Electricity load data characterization
 Electricity theft detection
 forecasting electricity prices.

7. CONSUMPTIONOF ELECTRICITY
We can consume our electricity in many Tips.
 Turn off unnecessary lights
 Use natural light
 Take shorter showers
 Ditch the desktop computer
 Avoid Use the microwave, crock pot or toaster oven
 Be efficient with refrigeration usage
We can also consume electricity by not using the above mentioned .we
can make use of data minng for efficient usage of electricity. Let move to
some survey on datamining in the field of electricity.

8. SURVEYONCONSUMPTIONOF ELECTRICITYBY DATAMINING
ALGORITHMS
Name of the Author Title of the Paper Algorithm used in paper year
1.Bikash sharma Application of data
mining, management of
performance
and power in Data
centres
Nearst neighbour,
Navie Bayes,
CART,
Regression Tree,
k-means and
Logistic
regression
_
2..Xin -Lu,,Xeu LI,
Zhao yang Dong
Electricity market price
spike fore-Cast with
data-Mining technique
fuzzy neutral auto -
regression ,SDI,RDI 2005

9. 3. Hiroyuki
moki and Akira
Awata
Datamining of
electricity price
forecasting
with regression tree
and normalization
NRBFNand
regression tree
2007
4. Jian deng
Modelling and prediction
on
china's electricity
consumption using
neutral networking.
Error back-
propagation Algorithm. 2010
5.Ali Darudi Masoud
Bashari
Electricity forecasting
using a new Data fusion
algorithm
Data fusion algorithm, ARIMA
(autoregressive integrated
moving average),ANN(Artificial
Neural Network ) and ANFIS
(Adaptive Neuro Fuzzy Inference
System )Algorithm
2015

10. 6.Noorrollah
Karimtabar and
Sadegh
Analysis and predicting
electricity consumption
Using datamining
techniques
Regression mode
prediction 2015
7. konstantincs
blazakis,
Darazani,Georgios,
Loana -pisica
Lesson learn from
mining meter of
residential
consumer
k-means
PDA(Principal
Component
Analysis)
2016
Many researchers have made their research in this field they have used different
data minig teechniques for mining electricity data

11. NEW IDEA FOR ELECTRICAL CONSUMPTION USING
DATAMINING ALGORITHM
Limitation in survey
they are able only to cluster or classify the data.
The above given survey authors focus only consumed data by different data technique that
is not efficient
Our idea is to controlling unconsumed data by sensor these leads to reduce electricity bill
through bulbs

12. PROBLEMSTATEMENT
can define main three problems for increase electricity bills by bulbs
1. switch on lights in morning or full day
2. switch on the bulb due to darken painting for the wall.
3. absence of windows make to switch on the bulb
We can overcome these by using sensors

13. NEW IDEA FOR ELECTRICAL CONSUMPTION USING
DATAMINING ALGORITHM
• In these concern our ideas is to determine the parameters such as
• Colour of the wall
• Insensity of light
By using the sensors it determine the intensity of the light by vagueness in fuzzy algorithm
FUZZY data mining algorithm. Fuzzy logic is used in data mining .Fuzzy logic is a form of many-
valued logic in which the true variables are real numbers between 0 and 1 .The values range
between completely true or false.

14. NEW IDEA FOR ELECTRICAL CONSUMPTION USING
DATAMINING ALGORITHM
• Fuzzy logic is used in data mining
• Fuzzy logic is a form of many-valued logic in which the true variables are real numbers
between 0 and 1 .The values range between completely true or false.
Usally,
if(intensity= =high)
room will bright
break
if(intensity==low)
room will dark
These leads to increase electricity bill,. By sensors using prediction concept in fuzzy logic
algorithm the sensors measure intensity of light and bring output according to paint and
temperature.

15. FUTURE SCOPE
Our idea future scope will work as
These sensor fixed in wall .
It start to passes signals from sensor to bulb.
The bulb blinks according to the sunlight rays, room temperature and colour of
the wall.
These process reduces the electricity bill due to less watt output from the bulb.

16. CONCLUSION
A day a light release many kilowatts in a day
876 kilowatt - per day. The costs
kilowatt hour - 15cents
Hope our idea should reduce electricity bill
through bulbs IN FUTURE