A literature review and statistical analysis of photovoltaic-wind hybrid renewable system research by considering the most relevant 550 articles: An upgradable matrix …
In recent years, research has shown a growing interest in the use of hybrid wind photovoltaic
(PV) systems that provide better performance compared to the use of a single component …
(PV) systems that provide better performance compared to the use of a single component …
A review of empirical data of sustainability initiatives in university campus operations
Given the need to actively address the challenges of climate change, university leaders
have a growing interest in reducing their campuses' environmental impact. This article …
have a growing interest in reducing their campuses' environmental impact. This article …
Lessons from unsuccessful energy and buildings sustainability actions in university campus operations
Abstract Higher Education Institutions (HEIs) are increasingly striving to deploy actions that
promote the efficient use of energy and other resources on university campuses. Successful …
promote the efficient use of energy and other resources on university campuses. Successful …
[HTML][HTML] Smart knowledge management driving green transformation: A comparative case study
J Magyari, M Zavarkó, Z Csedő - Smart Energy, 2022 - Elsevier
Large energy companies and energy startups are increasingly focusing their resources to
build new businesses concerning smart energy systems (SES). The development and …
build new businesses concerning smart energy systems (SES). The development and …
Electrical microgrid optimization via a new recurrent neural network
MEG Urias, EN Sanchez, LJ Ricalde - IEEE Systems Journal, 2014 - ieeexplore.ieee.org
This paper presents the development and implementation of a new recurrent neural network
for optimization as applied to optimal operation of an electrical microgrid, which is …
for optimization as applied to optimal operation of an electrical microgrid, which is …
Advanced and adaptive dispatch for smart grids by means of predictive models
Integrated generation systems are increasingly considered suitable to supply remote areas,
less developed countries, and small isolated communities with power. The energy …
less developed countries, and small isolated communities with power. The energy …
A cloud-distributed GPU architecture for pattern identification in segmented detectors big-data surveys
C Napoli, G Pappalardo, E Tramontana… - The Computer …, 2016 - academic.oup.com
Physical surveys in many fields use segmented detectors to sense some physical quantities.
In many cases, physical phenomena produce raw data with a rate higher than that possible …
In many cases, physical phenomena produce raw data with a rate higher than that possible …
Wavelet recurrent neural network with semi-parametric input data preprocessing for micro-wind power forecasting in integrated generation Systems
Wind power penetration is increasing more and more in the modern power system and an
accurate wind power forecasting is now required to provide an help to the system operator to …
accurate wind power forecasting is now required to provide an help to the system operator to …
Simplified firefly algorithm for 2d image key-points search
C Napoli, G Pappalardo, E Tramontana… - … IEEE Symposium on …, 2014 - ieeexplore.ieee.org
In order to identify an object, human eyes firstly search the field of view for points or areas
which have particular properties. These properties are used to recognise an image or an …
which have particular properties. These properties are used to recognise an image or an …
A novel cloud-distributed toolbox for optimal energy dispatch management from renewables in igss by using wrnn predictors and gpu parallel solutions
Integrated generation systems (IGSs) are today increasingly considered to exploit
renewable energy in order to supply load for remote areas, less developed countries and …
renewable energy in order to supply load for remote areas, less developed countries and …