Forecasting short-term electricity consumption using the adaptive grey-based approach—An Asian case
The overall electricity consumption, treated as a primary guideline for electricity system
planning, is a major measurement to indicate the degree of a nation's development. The …
planning, is a major measurement to indicate the degree of a nation's development. The …
Electricity consumption prediction using a neural-network-based grey forecasting approach
YC Hu - Journal of the Operational Research Society, 2017 - Taylor & Francis
Electricity consumption is an important economic index and plays a significant role in
drawing up an energy development policy for each country. Multivariate techniques and time …
drawing up an energy development policy for each country. Multivariate techniques and time …
Minimizing losses in milk supply chain with sustainability: An example from an emerging economy
Food loss in supply chain is a growing problem due to its environmental, social and
economic impacts. Especially in emerging economies losses mostly occur in the first stages …
economic impacts. Especially in emerging economies losses mostly occur in the first stages …
A historic Review of Grey Forecasting Models.
N Xie, R Wang - Journal of grey System, 2017 - search.ebscohost.com
This manuscript aims to summarize the evolution of grey forecasting models and their
applications in recent three decades and digs out several valuable research directions of …
applications in recent three decades and digs out several valuable research directions of …
Forecasting iron ore import and consumption of China using grey model optimized by particle swarm optimization algorithm
W Ma, X Zhu, M Wang - Resources Policy, 2013 - Elsevier
The iron and steel industry plays a fundamental role in a country's national economy,
especially in developing countries. China is the largest iron ore consumption market in the …
especially in developing countries. China is the largest iron ore consumption market in the …
Forecasting energy demand using neural-network-based grey residual modification models
YC Hu, P Jiang - Journal of the Operational Research Society, 2017 - Taylor & Francis
Grey forecasting models have taken an important role for forecasting energy demand,
particularly the GM (1, 1) model, because they are able to construct a forecasting model …
particularly the GM (1, 1) model, because they are able to construct a forecasting model …
Interval grey number sequence prediction by using non-homogenous exponential discrete grey forecasting model
This paper aims to study a new grey prediction approach and its solution for forecasting the
main system variable whose accurate value could not be collected while the potential value …
main system variable whose accurate value could not be collected while the potential value …
Forecasting performance of grey prediction for education expenditure and school enrollment
HWV Tang, MS Yin - Economics of Education Review, 2012 - Elsevier
GM (1, 1) and GM (1, 1) rolling models derived from grey system theory were estimated
using time-series data from projection studies by National Center for Education Statistics …
using time-series data from projection studies by National Center for Education Statistics …
Fuzzy autoregressive distributed lag model-based forecasting
M Eren - Fuzzy Sets and Systems, 2023 - Elsevier
This research aims to be guided decision-makers in future planning by estimating the
tendency of data consistently. In this context, it is thought that the integration of the …
tendency of data consistently. In this context, it is thought that the integration of the …
Grey prediction with residual modification using functional-link net and its application to energy demand forecasting
YC Hu - Kybernetes, 2017 - emerald.com
Purpose Energy demand is an important economic index, and demand forecasting has a
significant role when devising energy development plans for cities or countries. GM (1, 1) …
significant role when devising energy development plans for cities or countries. GM (1, 1) …