✦ LIBER ✦

An Application of State Estimation to Short-Term Load Forecasting, Part I: Forecasting Modeling

✍ Scribed by Toyoda, J.; Mo-Shing Chen; Inoue, Y.

Book ID: 114665137
Publisher: Institute of Electrical and Electronics Engineers
Year: 1970
Tongue: English
Weight: 860 KB
Volume: PAS-89
Category: Article
ISSN: 0018-9510
DOI: 10.1109/tpas.1970.292823

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Modeling and forecasting short-term elec

Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data

✍ Lacir J. Soares; Marcelo C. Medeiros 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 590 KB

Estimating temperature profiles for shor

Estimating temperature profiles for short-term load forecasting: neural networks compared to linear models

✍ Hippert, H.S.; Pedreira, C.E. 📂 Article 📅 2004 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 269 KB

Application of radial basis function neu

Application of radial basis function neural network model for short-term load forecasting

✍ Ranaweera, D.K.; Hubele, N.F.; Papalexopoulos, A.D. 📂 Article 📅 1995 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 585 KB

Accuracy of rainfall estimates by radar,

Accuracy of rainfall estimates by radar, part III: Application for short-term flood forecasting

✍ C.G. Collier; J.M. Knowles 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 698 KB

Application of artificial neural network

Application of artificial neural networks to historical data analysis for short-term electric load forecasting

✍ M. Caciotta; R. Lamedica; V. Orsolini Cencelli; A. Prudenzi; M. Sforna 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 859 KB

A constrained orthogonal least-squares m

A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting

✍ Paris A. Mastorocostas; John B. Theocharis; Vassilios S. Petridis 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 237 KB

In this paper, an orthogonal least-squares (OLS) based modeling method is developed, named the constrained OLS (C-OLS), for generating simple and e cient TSK fuzzy models. The method is a two-stage model building technique, where both premise and consequent identiÿcation are simultaneously performed