[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 …
and the efficient operation and sustainable growth of modern electricity supply networks …
A spiking neural network-based long-term prediction system for biogas production
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 …
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 …
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 …
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 …
the installation of photovoltaic (PV) systems: Sarmich, Ingichka, Kuytosh, Yakhton, Chauli …
A spiking neural network-based model for anaerobic digestion process
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 …
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 …
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 …
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
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 …
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
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 …
renewable energies. The hybrid energy storage system with water and soil is adopted to …