Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
Data fusion and IoT for smart ubiquitous environments: A survey
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …
our times provided we are able to realize its full potential. The number of objects connected …
RETRACTED: Artificial neural networks applications in wind energy systems: A review
R Ata - 2015 - Elsevier
One of the conditions of submission of a paper for publication is that authors declare
explicitly that their work is original and has not been submitted to nor appeared in another …
explicitly that their work is original and has not been submitted to nor appeared in another …
Analysis of Neural Networks Used by Artificial Intelligence in the Energy Transition with Renewable Energies
ÍM Iglesias-Sanfeliz Cubero, A Meana-Fernández… - Applied Sciences, 2023 - mdpi.com
Highlights The application of different types of RNA is very effective in the energy transition.
ANNs are a very effective/useful tool in the fight against climate change. High capacity of …
ANNs are a very effective/useful tool in the fight against climate change. High capacity of …
Wind power prediction using a three stage genetic ensemble and auxiliary predictor
This paper presents a novel method for accurate wind power prediction by applying
computational intelligence approaches while exploiting Auxiliary Predictor (AxP) and …
computational intelligence approaches while exploiting Auxiliary Predictor (AxP) and …
Comparison between ARIMA and ANN models used in short-term wind speed forecasting
L Chen, X Lai - 2011 Asia-Pacific power and energy …, 2011 - ieeexplore.ieee.org
Wind power is a significant alternate energy in times of energy crisis. In virtue of its
intermittency and fluctuation, it poses several operational challenges to grid interfaced wind …
intermittency and fluctuation, it poses several operational challenges to grid interfaced wind …
A vector autoregression weather model for electricity supply and demand modeling
Weather forecasting is crucial to both the demand and supply sides of electricity systems.
Temperature has a great effect on the demand side. Moreover, solar and wind are very …
Temperature has a great effect on the demand side. Moreover, solar and wind are very …
Do machine learning approaches offer skill improvement for short-term forecasting of wind gust occurrence and magnitude?
Wind gusts, and in particular intense gusts, are societally relevant but extremely challenging
to forecast. This study systematically assesses the skill enhancement that can be achieved …
to forecast. This study systematically assesses the skill enhancement that can be achieved …
Hybrid wind speed prediction model based on recurrent long short-term memory neural network and support vector machine models.
T Vinothkumar, K Deeba - Soft Computing-A Fusion of …, 2020 - search.ebscohost.com
Renewable energy has gained its significance in the recent years due to the increasing
power demand and the requirement in various distribution and utilization sectors. To meet …
power demand and the requirement in various distribution and utilization sectors. To meet …
Development of ANN model for wind speed prediction as a support for early warning system
The impact of natural disasters increases every year with more casualties and damage to
property and the environment. Therefore, it is important to prevent consequences by …
property and the environment. Therefore, it is important to prevent consequences by …