An Application of State Estimation to Short-Term Load Forecasting, Part II: Implementation
- 1 September 1970
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Apparatus and Systems
- Vol. PAS-89 (7) , 1683-1688
- https://doi.org/10.1109/tpas.1970.292824
Abstract
A precise short-term forecasting method for estimating the status of systems is required for on-line real-time control of complex power systems. In [11] some state estimation type modelings of load forecasting were introduced and a few practical problems for applying state estimation were discussed. In this paper the identification algorithms of the covariance matrices of system and observation noise using observed data series are developed and their experimental results by simulation model are discussed. Results show that forecasting error by the developed method is quickly converged to minimum error of the ideal state estimation with previously known noise properties.Keywords
This publication has 11 references indexed in Scilit:
- On-line identification of linear dynamic systems with applications to Kalman filteringIEEE Transactions on Automatic Control, 1971
- On the identification of variances and adaptive Kalman filteringIEEE Transactions on Automatic Control, 1970
- State Estimation in Power Systems Part I: Theory and FeasibilityIEEE Transactions on Power Apparatus and Systems, 1970
- Power System Static-State Estimation, Part I: Exact ModelIEEE Transactions on Power Apparatus and Systems, 1970
- Algorithms for sequential adaptive estimation of prior statisticsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1969
- Adaptive filteringAutomatica, 1969
- An adaptive predictor of river flow for on line control of water resource systemsAutomatica, 1969
- The Relationship Between Summer Weather and Summer Loads - A Regression AnalysisIEEE Transactions on Power Apparatus and Systems, 1966
- New Results in Linear Filtering and Prediction TheoryJournal of Basic Engineering, 1961
- A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering, 1960