Load forecasting using artificial neural networks
Raise forecast accuracy with powerful load forecasting software
Accurate electricity load forecasting is an essential part of economy of any energy company. Short- and mid-range predictions of electricity load allow electricity companies to retain high energy efficiency and reliable operation. Of course, there is always a chance of unforeseen load jumps, yet more important is the application of electricity load forecasting software that could minimize the number of such incidents by careful analysis of historical trends.
GMDH Shell software puts the most recent mathematical algorithms into this task and provides quick and reliable electricity load forecasting basing on provided historical data. The program creates a set of models getting more and more complicated at each level. Such models are then applied to historical data and an error is calculated. Once the further complication of models stops producing decent increase in prediction quality, the process ends.
Such algorithm of electricity load forecasting allows to avoid creating of overcomplicated models that drain CPU resources and do not give real predictive advantages. Instead, models built by GMDH Shell using the unique GMDH (Group Method of Data Handling) algorithm are simple, fast and exclusively accurate in terms of prediction.
GMDH Shell electricity forecasting software is quite easy to use thanks to a number of applicable templates designed for various industries including electricity. The simplification doesn’t reduce its wide capabilities though, so once you master the program in full you’ll be able to fine-tune any template to your exact preferences.
Statistical forecast based on historical load measurements
Unattended operation as a forecast server
Extraction of historical measurements from a database, Excel or text files
Additional factors such as weather data and holidays
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GMDH Shell is a user-friendly forecasting tool for Windows with data exploration capabilities and forecasting automation. The software provides full set of features necessary for electricity load forecasting. Historical measurements of electricity load are required, however there are no restrictions to what you should measure beside with the electricity load. Important features and capabilities of GMDH Shell:
Core algorithms are well studied and publicly available
GMDH Shell produces multivariate models, linear and non-linear
Automatic selection of relevant input variables
Multiple forecast horizons
Multiple predicted variables (targets)
Data exploration module
Support for stand-alone operation
Database connection (over ODBC or OLEDB)
Connection to XLS, XLSX and text files with delimiters
Accuracy tracking via built-in database
Timestamp (date/time) format recognition
Built-in calendar that supports national holidays and custom events
Adjusting for weekends and holidays, environmental temperature, weather forecast, seasonal component and patterns
If you can provide a sample of historical electricity load data we can prepare a free GMDH Shell project that demonstrates forecasting accuracy and the workflow in general.
Please take a look at the Request a demo page.
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About GMDH Shell
GMDH Shell is a forecasting software, developed by Geos Research Group, that enables users of all types to easily and accurately forecast their data.
Based on artificial neural networks, it allows you easily create predictive models, as well as preprocess data with dead simple point-and-click interface. Unlike other tools based on neural networks - GMDH Shell is very fast because of state-of-the-art parallel processing and great optimization of core algorithms.
You can download a free trial of GMDH Shell. Additionally, we will be happy to create a demo project with your own data. This way you will be able to test and evaluate GMDH Shell’s performance with minimum efforts, at the same time reviewing your own data, not on a random sample.
Feel free to contact us, if you have any additional questions, we will be happy to answer.
Geos Research Group, LLC, 55 Broadway, 28th Floor, New York, NY 10006
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