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[PDF] Top 20 Review of Demand Side Management by using Artificial Neural Network

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Review of Demand Side Management by using Artificial Neural Network

Review of Demand Side Management by using Artificial Neural Network

... Here the distribution system is considered with the source of 33KV and the step down transformers. The system is having the four feeders each having 11KV capacity. Feeders are namely Paloti, Gavthan, Medical and Savangi. ... See full document

9

FORECASTING OF DEMAND USING ARTIFICIAL NEURAL NETWORK FOR SUPPLY CHAIN MANAGEMENT

FORECASTING OF DEMAND USING ARTIFICIAL NEURAL NETWORK FOR SUPPLY CHAIN MANAGEMENT

... The demand forecasting technique which is modeled by artificial intelligence approaches using artificial neural ...future demand and the accuracy of the forecast In performance ... See full document

8

A Review on Demand Side Management Solutions for Power Utilities

A Review on Demand Side Management Solutions for Power Utilities

... DSM has changed the thinking of construction a new power plant to meet the demand. DSM optimization is now being used to control electricity bills of various residential, industrial and commercial users. DSM not ... See full document

6

Artificial Neural Network Approach for Load Forecasting in Demand Side Management

Artificial Neural Network Approach for Load Forecasting in Demand Side Management

... Demand Side Management (DSM) is a portfolio of measures to improve the energy system at the side of ...by using better materials, over smart energy tariffs with incentives for certain ... See full document

6

Review on Transformer Protection through Arti...

Review on Transformer Protection through Arti...

... The demand for a reliable supply of electrical energy for the need of modern world in each and every field has increased considerably requiring nearly a no-fault operation of power ...pointed demand that ... See full document

6

Demand forecasting Using Artificial Neural Network Based on Different Learning Methods: Comparative Analysis

Demand forecasting Using Artificial Neural Network Based on Different Learning Methods: Comparative Analysis

... accuracy. Artificial neural network (ANN) algorithms have been found to be useful techniques for demand forecasting due to their ability to accommodate non- linear data, to capture subtle ... See full document

13

Artificial Neural Network for Predicting Flood : A Review

Artificial Neural Network for Predicting Flood : A Review

... ANNs were first introduced in water resources research for their use to predict monthly water consumption and to estimates occurrences of floods. Since then ANNs have been used for a number of different water resources ... See full document

14

MODELLING AUSTRALIA’S OUTBOUND PASSENGER AIR TRAVEL DEMAND USING AN ARTIFICIAL NEURAL NETWORK APPROACH

MODELLING AUSTRALIA’S OUTBOUND PASSENGER AIR TRAVEL DEMAND USING AN ARTIFICIAL NEURAL NETWORK APPROACH

... an artificial neural network (ANN) models for predicting Australia’s outbound international airline passenger ...tested using the input parameters of world GDP, world population, world jet ... See full document

18

Short Term Electricity Price Forecasting Using a Combination of Neural Networks and Fuzzy Inference

Short Term Electricity Price Forecasting Using a Combination of Neural Networks and Fuzzy Inference

... an artificial neural network, ANN, based approach for estimating short-term wholesale electricity prices using past price and demand ...electricity demand at the target time is ... See full document

8

Prediction of Drug Lipophilicity Using Back Propagation Artificial Neural Network Modeling

Prediction of Drug Lipophilicity Using Back Propagation Artificial Neural Network Modeling

... The molecular volume and the molecular surface area are used mostly as bulk/cavity terms. There is no unique way to define the molecular volume or surface area, but most approaches try to define a surface contour similar ... See full document

10

Analysis of Tanzanian Energy Demand using Artificial Neural Network and Multiple Linear Regression

Analysis of Tanzanian Energy Demand using Artificial Neural Network and Multiple Linear Regression

... energy demand in Tanzania based on ANN-MLP ...energy demand as compared to economic and environment indicators model using ANN-MLP ...(APE) using data in Table 2 and equation (10) for energy ... See full document

8

Forecasting Determinant of Cement Demand in Indonesia with Artificial Neural Network

Forecasting Determinant of Cement Demand in Indonesia with Artificial Neural Network

... its demand increases and vice versa. Demand forecasting is the way to predict the data in the future based on the historical data determinant of demand to reach some locations of extrapolative in the ... See full document

12

Dynamic Pricing in Ecommerce using Neural Network approach

Dynamic Pricing in Ecommerce using Neural Network approach

... buyers demand curve is random and ...on demand curve of the ...and Artificial Neural Network (ANN) for estimation of player price in ...analysis using artificial ... See full document

7

Optimization of EDM Process Parameters by Using Artificial Neural Network: A Review

Optimization of EDM Process Parameters by Using Artificial Neural Network: A Review

... Optimization of the machining process using a GA-based neural network. It was observed that GA has sufficient prediction and reasoning capability to generate optimal process parameters. The process ... See full document

12

Predicting energy requirement for heating the building using  artificial neural network

Predicting energy requirement for heating the building using artificial neural network

... used artificial intelligence models in the application of building energy ...brief review of the ANNs in energy applications in buildings, including solar water heating systems, solar radiation, wind speed, ... See full document

6

Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK

Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK

... training neural networks are based on local search, population methods, and others such as cooperative coevolutionary models ...literature review of evolving ANN algorithms ...evolved using the ... See full document

7

FORECASTING ENERGY  DEMAND FOR A HOUSE USING ARTIFICIAL NEURAL NETWORK

FORECASTING ENERGY DEMAND FOR A HOUSE USING ARTIFICIAL NEURAL NETWORK

... The Neural networks are widely using for short-term, and to a lesser degree medium and long term, demand ...The demand time series is related with the socio-economic, weather and demographic ... See full document

6

“Improvement in the Energy Supply Chain Risk
Management of Oil and Petroleum Industries” –
Using the concept of ANN embedded in SCM

“Improvement in the Energy Supply Chain Risk Management of Oil and Petroleum Industries” – Using the concept of ANN embedded in SCM

... Modern life without energy supply is unimaginable. Energy supply is the backbone of almost all economic activities which is powering systems and infrastructures required for functioning of modern economies and societies. ... See full document

8

Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq

Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq

... feed-forward neural network model to forecast Japanese tourist arrivals in Hong ...the neural network contains six nodes: Ser- vice Price, Average Hotel Rate, Foreign Exchange Rate, ... See full document

8

Estimation of pomegranate evapotranspiration for orchard management using artificial neural network

Estimation of pomegranate evapotranspiration for orchard management using artificial neural network

... of artificial neural networks (ANNs) for evapotranspiration (ETp) estimated by ETr and Kc year pomegranate ...ETp using crop coefficient approach and ANN estimated ETp which are ... See full document

5

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