Load Forecasting by a Novel Technique Using Ann
نویسندگان
چکیده
Basically the active power demands at various load buses need to be estimated ahead of time in order to plan the generation and distribution schedules, for contingency analysis and also for monitoring the system security. A great deal of attention has been given in recent years to the question of setting up the demand models for the individual appliances and their impact on the aggregated demand. For the allocation of spinning reserve it would be necessary to predict the load demands at least an hour ahead. A method using ANN based technique is developed for short-term load forecast. The technique is tested on real time data collected from a 220 KV / 132 KV / 33 KV / 11 KV Renigunta Sub-Station, A.P, India. Calculations are done based on the hourly data of active power variations obtained over a period of one month. The active powers were used as input quantities for training the ANN and obtained the respective output active powers for the corresponding day.
منابع مشابه
Short-term and Medium-term Gas Demand Load Forecasting by Neural Networks
The ability of Artificial Neural Network (ANN) for estimating the natural gas demand load for the next day and month of the populated cities has shown to be a real concern. As the most applicable network, the ANN with multi-layer back propagation perceptrons is used to approximate functions. Throughout the current work, the daily effective temperature is determined, and then the weather data w...
متن کاملShort-Term Load Forecasting Using Artificial Neural Network
-Artificial neural network (ANN) has been used for many years in sectors and disciplines like medical science, defence industry, robotics, electronics, economy, forecasts, etc. The learning property of ANN in solving nonlinear and complex problems called for its application to forecasting problems. This report present the development of an ANN based short-term load forecasting model for the 132...
متن کاملElectric Load Forecasting Using An Artificial Neural Network
This paper presents an artificial neural network(ANN) approach to electric load forecasting. The ANN is used to learn the relationship among past, current and future temperatures and loads. In order to provide the forecasted load, the ANN interpolates among the load and temperature data in a training data set. The average absolute errors of the one-hour and 24-hour ahead forecasts in our test o...
متن کاملShort - Term Load Forecasting
This paper presents a novel hybrid method for short-term load forecasting. The system comprises of two artificial neural networks (ANN), assembled in a hierarchical order. The first ANN is a multilayer perceptron (MLP) which functions as integrated load predictor (ILP) for the forecasting day. The output of the ILP is then fed to another, more complex MLP, which acts as an hourly load predictor...
متن کاملFlood Forecasting Using Artificial Neural Networks: an Application of Multi-Model Data Fusion technique
Floods are among the natural disasters that cause human hardship and economic loss. Establishing a viable flood forecasting and warning system for communities at risk can mitigate these adverse effects. However, establishing an accurate flood forecasting system is still challenging due to the lack of knowledge about the effective variables in forecasting. The present study has indicated that th...
متن کامل