[HTML][HTML] A comparative analysis of machine learning approaches for short-/long-term electricity load forecasting in Cyprus

D Solyali - Sustainability, 2020 - mdpi.com
Estimating the electricity load is a crucial task in the planning of power generation systems
and the efficient operation and sustainable growth of modern electricity supply networks …

A spiking neural network-based long-term prediction system for biogas production

G Capizzi, GL Sciuto, C Napoli, M Woźniak, G Susi - Neural Networks, 2020 - Elsevier
Efficient energy production from biomass is a central issue in the context of clean alternative
energy resource. In this work we propose a novel model based on spiking neural networks …

[HTML][HTML] Is small scale desalination coupled with renewable energy a cost-effective solution?

G Kyriakarakos, G Papadakis - Applied Sciences, 2021 - mdpi.com
Water and energy are two of the most important inputs for a community to thrive. While water
is dominant on earth, only 2.5% of the water is fresh water and over 98% of that water is …

[HTML][HTML] Analysis of different neural networks and a new architecture for short-term load forecasting

L Yang, H Yang - Energies, 2019 - mdpi.com
Short-term load forecasting (STLF) has been widely studied because it plays a very
important role in improving the economy and security of electric system operations. Many …

[HTML][HTML] Assessment of photovoltaic potential of mining sites in Uzbekistan

M Mardonova, Y Choi - Sustainability, 2019 - mdpi.com
The present study analyzed the potential of eight operational mining sites in Uzbekistan for
the installation of photovoltaic (PV) systems: Sarmich, Ingichka, Kuytosh, Yakhton, Chauli …

A spiking neural network-based model for anaerobic digestion process

GL Sciuto, G Susi, G Cammarata… - … Symposium on Power …, 2016 - ieeexplore.ieee.org
There are many conversion technologies for the transformation of biomass into usable
energy forms. Among these technologies, anaerobic digestion is one of the most attractive …

[HTML][HTML] An improved frequency measurement method from the digital PLL structure for single-phase grid-connected PV applications

B Yu - Electronics, 2018 - mdpi.com
The Phase Locked Loop (PLL) technique has been studied to obtain the phase and
frequency information in grid-connected distributed generations for the sake of …

[HTML][HTML] Short-term wind speed forecasting based on low redundancy feature selection

N Huang, E Xing, G Cai, Z Yu, B Qi, L Lin - Energies, 2018 - mdpi.com
Wind speed forecasting is an indispensable part of wind energy assessment and power
system scheduling. In the modeling of wind speed forecasting, there are problems of …

The effect of plasmonic multilayered photoanode structures on the absorption of dye-sensitized solar cells

AU Rehman, M Khan, AD Khan, AA Raja… - Japanese Journal of …, 2021 - iopscience.iop.org
Dye-sensitized solar cells (DSSCs) have recently gained much attention, due to the low-cost
materials and their cheaper manufacturing techniques. However, these cells show a weak …

Design optimization of solar chimney power plant by finite elements based numerical model and cascade neural networks

GL Sciuto, G Cammarata, G Capizzi… - … on Power Electronics …, 2016 - ieeexplore.ieee.org
Power output fluctuation is a common problem in the various generating systems of
renewable energies. The hybrid energy storage system with water and soil is adopted to …