𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Bayesian neural network approach to short time load forecasting

✍ Scribed by Philippe Lauret; Eric Fock; Rija N. Randrianarivony; Jean-François Manicom-Ramsamy

Book ID
113599804
Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
763 KB
Volume
49
Category
Article
ISSN
0196-8904

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Neural network based short term load for
Neural network based short term load forecasting
✍ Lu, C.-N.; Wu, H.-T.; Vemuri, S. 📂 Article 📅 1993 🏛 IEEE 🌐 English ⚖ 569 KB

The a r t i f i c i a l neural network (ANN) technique f o r short term load forecasting (STLF) has been proposed by several authors, and gained a l o t o f a t t e n t i o n recently. I n order t o evaluate ANN as a v i a b l e technique f o r STLF, one has t o evaluate the performance of ANN meth

Short-term load forecasting using neural
Short-term load forecasting using neural networks
✍ S.J. Kiartzis; A.G. Bakirtzis; V. Petridis 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 503 KB

An artificial neural network (ANN) model for short-term load forecasting (STLF) is presented. The proposed model is capable of forecasting the next 24-hour load profile at one time, as opposed to the usual 'next one hour' ANN models. The inputs to the ANN are load profiles of the two previous days a