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Papers tagged with "Forecasting"
ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD FORECASTING AT KASOL IN THE RIVER SATLUJ, INDIA
Flood Causes Considerable Damage To Human Lives And Property Almost Every Year. Therefore, Flood Forecasting & Warning Has Been Recognized As The Most Important, Reliable And Cost Effective Non-structural Measures For Flood Mitigation. One...
SHORT TERM POWER PRODUCTION FORECASTING IN SMART GRID BASED ON SOLAR-DIESEL GENERATOR POWER PLANT
Invention Of Electricity Made Our Daily Life Easier And Now It Has Became An Essential Part Of Our Life. In Few Decays Electricity Consumption Has Increased Many Folds. Companies And Scientists Are Trying To Make More Electricity Efficient...
PLANNING OF HYBRID POWER PLANT BASED SMART GRID USING STATISTICAL APPROACH
Electricity Plays An Important Role In Our Daily Life Activity. Power Load (power Consumption) And Electricity Generation In A Balanced Manner Is Very Important To Minimize Load Shedding, And Regular Electricity Supply Specially At The Time...
PERFORMANCE ANALYSIS OF A RULE BASED MINING FRAMEWORK IN PREDICTING RETAIL SALES
Data Mining Is The Process Of Extracting Interesting And Previously Unknown Patterns And Correlations From Data Stored In Huge Data Repositories. Association Rule Mining, A Descriptive Mining Technique Of Data Mining Is The Process Of Disco...
INCREASING TAXI BUSINESS REVENUE FROM PREDICTED DEMAND BY APPLYING RECURRENT NEURAL NETWORKS
Forecasting The Demand Of Taxi Through The Entire City Can Be Efficiently Used To Manage The Fleet Of Taxi Control Drivers. By Forecasting The Demand, We Can Reduce The Waiting Time For All Passengers And Can Serve Them In A Better Way. In...
A SURVEY ON DATA MINING TECHNIQUES WITH VARIOUS APPLICATIONS: TWO DECADES FROM 1997 TO 2017
Data Mining Is One Of The Major Areas Of Research. An Extensive Research Is Being Done On Classification, Clustering, Association Rules Which Are The Functionalities Of Data Mining. In The Past Two Decades Various Data Mining Techniques (DM...
APPLICATION OF TIME SERIES ANALYSIS: RESEARCH TRENDS AND PREDICTION EVOLUTIONS
In Almost Every Scientific Field, Measurements Are Performed Over Time. These Observations Lead To A Collection Of Organized Data Called Time Series. The Purpose Of Time-series Data Mining Is To Try To Extract All Meaningful Knowledge From...
IMPLEMENTATION USING R TO FORECAST GDP
A Multiple Regression Technique Is Implemented Using R In This Work. The Objective Of The Work Is To Predict The GDP (Gross Domestic Product) Of A Large Number Of Countries. The Top Ten Countries With The Highest GDP Are Then Chosen From Th...
LOAD FORECASTING FOR HESCOM USING LINEAR REGRESSION AND ARTIFICIAL NEURAL NETWORK
This Paper Presents A Study Of Mid-term Load Forecasting Using Linear Regression(LR) And Artificial Neural Network (ANN) And Applied It To The Dharwad And Hubli Location Of HESCOM (Hubli Electric Supply Company). To Study The Load Growth Ra...
AN INTERACTIVE WEATHER PREDICTION SYSTEM USING HYBRID CPT+ METHOD
Changing Climate Conditions Have Increased The Demand For Decision Support Systems To Include True Forecasts. One Of The Most Popular Techniques Used For Prediction Is Data Mining. Weather Prediction And Climate Change Has Been The Most Sci...
ELECTRICITY DEMAND FORECASTING FOR KARNATAKA STATE USING ARIMA MODEL
In The Current Era Abundance Of Data Is Available And This Data Is Being Overloaded Every Second, Minute, Hour, Day, Week, Month And Years Etc. Organizations Have Taken Initiative To Process This Mammal Amount Of Data To Explore The Abi...