cerkalo
» » Distant weather elements sensing for short term load forecasting: An experimental approach to demonstrate the weather dependency on power system

Distant weather elements sensing for short term load forecasting: An experimental approach to demonstrate the weather dependency on power system download ebook

by Sumit Mazumder Ami,Taif Hossain Rocky

Distant weather elements sensing for short term load forecasting: An experimental approach to demonstrate the weather dependency on power system download ebook
ISBN:
3639267265
ISBN13:
978-3639267266
Author:
Sumit Mazumder Ami,Taif Hossain Rocky
Publisher:
VDM Verlag Dr. Müller (June 20, 2010)
Language:
Pages:
72 pages
ePUB:
1344 kb
Fb2:
1422 kb
Other formats:
lit mbr rtf txt
Category:
Engineering
Subcategory:
Rating:
4.2

This paper presents a practical method for short-term load forecast problem using artificial neural network (ANN) combined similar days approach.

This paper presents a practical method for short-term load forecast problem using artificial neural network (ANN) combined similar days approach. Neural networks applied in traditional prediction methods all use similar days data to learn the trend of similarity. However, learning all similar days data is a complex task, and does not suit the training of neural network.

Power consumption largely depends on atmospheric elements.

In recent years several short-term power forecasting models related to. .In this paper an ANN-based approach to forecast the power output of a PV plant at 24 h ahead is proposed.

In recent years several short-term power forecasting models related to PV plants have been published. The existing solutions can be classified into the categories of physical, statistical and hybrid methods. The comparison is based on experimental activities carried out by a real PV power plant. In Section 3, the new proposed hybrid methods is presented and explained.

Short-term electric load forecasting using an adaptively trained layered . Proc Expert System Application to Power Systems IV, La Trobe, Melbourne, Australia, 4–8 January 1993; 164–168Google Scholar.

Short-term electric load forecasting using an adaptively trained layered perceptron. Proc 1st Int Forum on Applications of Neural Networks to Power Systems, Seattle, WA, 23–26 July 1991; 41–45Google Scholar. Conceptual approach to the application of neural network for short term load forecasting. In: IEEE Int Symposium on Circuits and Systems, New Orleans, LA, May 1990; 2342–2345Google Scholar. 33. Peng TM, Hubele NF, Karady GG. Advancement in the application of neural networks for short-term load forecasting.

Since wind power is directly influenced by wind speed, long-term wind speed forecasting . Short-term WSF at La Venta, Oaxaca in Mexico, was practiced by Cadenas and Rivera using ANN.

WSF is essential for controlling, energy management and scheduled wind power generation in wind farm. Although the wind speed is the most challenging factor for wind power generation, the variation of wind speed found in nature is chaotic. Sometimes, wind turbine can be affected by high cut-out wind speed, . the production of wind power generation is stopped when wind speed is very high.

Abstract-Short-Term Load Forecasting (STLF) is a fundamen-tal component in the efcient management of power systems, which has been studied intensively over the past 50 years

Abstract-Short-Term Load Forecasting (STLF) is a fundamen-tal component in the efcient management of power systems, which has been studied intensively over the past 50 years. The emerging development of smart grid technologies is posing new challenges as well as opportunities to STLF. Load data, collected at higher geographical granularity and frequency through thou-sands of smart meters, allows us to build a more accurate local load forecasting model, which is essential for local optimization of power load through demand side management.

Power System Short-term Load Forecasting. Weather-sensitive load also includes appliance of agricultural irrigation due to the need of the cultivated plants. From the experimental results the conclusion can be drawn that different methods might outperform the others in different situations, . one method might gain the lowest prediction error for one time point, and another might for another time point. How to choose a good method or the combination of different methods for different situations becomes necessary. In the areas where summer and winter have great meteorological difference, the load patterns differ greatly.

Detailed weather forecast. Detailed weather forecast. First shown10 Jan 2020.

Longer-term weather, environmental forecasts will provide enormous benefit. Date: March 29, 2016.

Load forecasting is important, especially in developing countries where efficient energy production is a must. Power consumption largely depends on atmospheric elements. But acquisition and integrating all the weather elements into Load Dispatch Centre is quite tough. This project describes how to sense weather elements such as temperature,humidity,air speed and how to monitor these parameters from a remote place using computer through parallel port interfacing. It also describes problem occurs in interfacing and solutions. Weather element is not stable. System/machine depends on it required to know the characteristics of these element. In modern world almost everything is computerized. So, networking is also applied is this project that helps to monitor and measure data's from different places simultaneously. In this project direct access of parallel-port from another computer within same LAN is also used. This book will help industry peoples who have dependency on weather elements to sense it in an inexpensive way. This book will also help students and researchers who are working on parallel-port, remote sensing and renewable energy.