A Thermal Load Forecasting Algorithm Based on Trajectory Tracking
The heating load forecast provides a basis for saving heating energy. Considering the nonstationary, nonlinear, and large time-delay characteristics of thermal load, this paper introduces the trajectory tracking stability theory into the field of load forecasting and proposes a heuristic correction...
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2020-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/5919238 |
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doaj-c42b965f80ef4771ad8c1523df9e1fde2020-11-30T09:11:28ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/59192385919238A Thermal Load Forecasting Algorithm Based on Trajectory TrackingGuo Ling0Du Weiwei1Yang Jiancheng2Wang Liping3Wan Ping4Liu Ling5Army Logistics University, Chong Qing 401311, ChinaArmy Logistics University, Chong Qing 401311, ChinaArmy Logistics University, Chong Qing 401311, ChinaArmy Logistics University, Chong Qing 401311, ChinaArmy Logistics University, Chong Qing 401311, ChinaChongqing Vocational Institute of Engineering, Chong Qing 402218, ChinaThe heating load forecast provides a basis for saving heating energy. Considering the nonstationary, nonlinear, and large time-delay characteristics of thermal load, this paper introduces the trajectory tracking stability theory into the field of load forecasting and proposes a heuristic correction that can ensure the convergence of forecast errors and does not depend on the system prediction model algorithm. The Lyapunov method is used to derive an error convergence criterion that has nothing to do with the prediction model, and a heuristic correction algorithm is designed for the predicted value with error divergence trend to ensure the error convergence of the load forecast sequence.http://dx.doi.org/10.1155/2020/5919238 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guo Ling Du Weiwei Yang Jiancheng Wang Liping Wan Ping Liu Ling |
spellingShingle |
Guo Ling Du Weiwei Yang Jiancheng Wang Liping Wan Ping Liu Ling A Thermal Load Forecasting Algorithm Based on Trajectory Tracking Mathematical Problems in Engineering |
author_facet |
Guo Ling Du Weiwei Yang Jiancheng Wang Liping Wan Ping Liu Ling |
author_sort |
Guo Ling |
title |
A Thermal Load Forecasting Algorithm Based on Trajectory Tracking |
title_short |
A Thermal Load Forecasting Algorithm Based on Trajectory Tracking |
title_full |
A Thermal Load Forecasting Algorithm Based on Trajectory Tracking |
title_fullStr |
A Thermal Load Forecasting Algorithm Based on Trajectory Tracking |
title_full_unstemmed |
A Thermal Load Forecasting Algorithm Based on Trajectory Tracking |
title_sort |
thermal load forecasting algorithm based on trajectory tracking |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2020-01-01 |
description |
The heating load forecast provides a basis for saving heating energy. Considering the nonstationary, nonlinear, and large time-delay characteristics of thermal load, this paper introduces the trajectory tracking stability theory into the field of load forecasting and proposes a heuristic correction that can ensure the convergence of forecast errors and does not depend on the system prediction model algorithm. The Lyapunov method is used to derive an error convergence criterion that has nothing to do with the prediction model, and a heuristic correction algorithm is designed for the predicted value with error divergence trend to ensure the error convergence of the load forecast sequence. |
url |
http://dx.doi.org/10.1155/2020/5919238 |
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