𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Application of diffusion models to forecast industrial energy demand

✍ Scribed by Skiadas, C. H. ;Papagiannakis, L. ;Mourelatos, A.

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
238 KB
Volume
13
Category
Article
ISSN
8755-0024

No coin nor oath required. For personal study only.

✦ Synopsis

Energy-efficient technologies were first used by a few large industrial units, but as energy prices have increased the population of potential adopters has expanded. The paper tries to analyse industrial energy demand in Greece in the period 1978-1991. Energy consumption of energy-intensive and non-energy-intensive industries is examined and the parameters influencing its change are considered. Price-adjusted diffusion models are used to explain the series of energy intensity. The results of the models are useful for formulating energy policy for promoting energy-saving technologies in Greek industry.

πŸ“œ SIMILAR VOLUMES

A model to estimate energy demand and CO
A model to estimate energy demand and CO2 emissions for the Indian cement industry
✍ Anjana Das; Dr. Tara Chandra Kandpal πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 119 KB πŸ‘ 2 views

A modelling framework based on linear dynamic programming techniques is presented which has been used to estimate energy demand as well as CO emissions associated with the Indian cement industry for di!erent scenarios during the period 1992}2021.

Application of tank, NAM, ARMA and neura
Application of tank, NAM, ARMA and neural network models to flood forecasting
✍ Tawatchai Tingsanchali; Mahesh Raj Gautam πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 166 KB πŸ‘ 2 views

Two lumped conceptual hydrological models\ namely tank and NAM and a neural network model are applied to ~ood forecasting in two river basins in Thailand\ the Wichianburi on the Pasak River and the Tha Wang Pha on the Nan River using the ~ood forecasting procedure developed in this study[ The tank a

Application of wavelet-based multi-model
Application of wavelet-based multi-model Kalman filters to real-time flood forecasting
✍ Chien-Ming Chou; Ru-Yih Wang πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 318 KB

## Abstract This paper presents the application of a multimodel method using a wavelet‐based Kalman filter (WKF) bank to simultaneously estimate decomposed state variables and unknown parameters for real‐time flood forecasting. Applying the Haar wavelet transform alters the state vector and input v

Analysis of energy demand and CO2 emissi
Analysis of energy demand and CO2 emissions for the Indian aluminium industry using a dynamic programming model
✍ Anjana Das; Tara Chandra Kandpal πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 151 KB πŸ‘ 2 views

This paper presents a capacity planning model for the Indian aluminium industry based on a linear dynamic programming technique. The model has been used to analyse energy demand and CO emission for the period 1992}2021.