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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Main Authors: Guo Ling, Du Weiwei, Yang Jiancheng, Wang Liping, Wan Ping, Liu Ling
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/5919238
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spelling 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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