Electrical Load Manageability Factor analyses by Artificial Neural Network Training

Residential Load Manageability Factor Analyses by Load Sensitivity Affected by Temperature

Load side management is the basic and significant principle to keeping the balance between generation side and consumption side of electrical power energy. Load side management on typical medium voltage feeder is the power energy consumption control of connected loads with variation of essential parameters that loads do reaction to their variation. Knowing amount of load's reaction to each para...

Electrical Load Forecasting in Power Distribution Network by Using Artificial Neural Network

Today, one of most important concerns in electrical power markets and distribution network is supplying the customer demands. In order to manage the market it is necessary to forecast the usage of electrical power in distribution network. The pattern of electrical power usage depends on many different parameters such as the week days, seasons, weather condition and etc. Today, researchers by us...

Artificial Neural Network and ANFIS Based Short Term Load Forecasting in Real Time Electrical Load Environment

An efficient and accurate electrical power Short Term Load forecasting plays a vital role for economic operational planning of both the electricity markets as well as regulated power systems. Till date many techniques and approaches have been presented for STLF in the literature. However there is still an essential need to develop more efficient and accurate load forecast model. This paper uses...

Analysis of Electrical Load Forecasting by Using Matlab Tool Box through Artificial Neural Network

Load forecasting is a central integral process in the planning and operation of electric utilities. Load forecasting has become in recent years one of the major areas of research in electrical engineering. The main problem for the planning is the determination of load demand in the future. Because electrical energy cannot be stored appropriately, correct load forecasting is very essential for t...

Short-term Electrical Load Forecasting for an Institutional/Industrial Power System Using an Artificial Neural Network

Detecting Depression in Elderly People by Using Artificial Neural Network

Introduction: The possibility of depression is common in the elderly. Novel technologies allow us to monitor people related to depression. Hence, a model was provided to detect depression in elderly based on artificial neural network (ANN). Methods: The present study is an applied descriptive-survey research. Forty elderly people were randomly selected from the Elderly Care Center in Gonbad Ka...