Most of the traditional convolutional neural networks (CNNs) implements bottom-up approach (feed-forward) for image classifications. However, many scientific studies demonstrate that visual perception in primates rely on both bottom-up and top-down connections. Therefore, in this work, we propose a CNN network with feedback structure for Solar power plant detection on middle-resolution satellit...

Nowadays, due to restrictions on fossil fuels, the use of renewable energies is increasing day by day. Among energies, solar energy has received more attraction its availability in all places. technologies, tower been welcomed high power generation electrical energy. For accurate modeling studied system, each component system evaluated and done. Therefore, this research, conducted achieve produ...

The utility solar power plants were reviewed and classified by two basic groups: direct thermal concentrating solar power (CSP) and photovoltaic (PV). CSP as Parabolic Trough Collector (PTC) of 100 MW solar power plants (SPP) is suggested and suitable to provide solar thermal power for Qatar. Although, LFC had enough experience for small projects, it is still need to work in large scale plant s...

We present new services, developed also under the GMES ENDORSE (ENergy DOwnstream SErvices) project, for the performance analysis and the support in the planning of solar plants (photovoltaic, CSP, CPV) that combine a detailed model of each part of the plant (solar field, thermal storage system, electrical power system and inverters) and the near real-time remote sensing of the global (or direc...

This paper introduces a novel concept of mini-hybrid solar power plant integrating a field of solar concentrators, two superposed Organic Rankine -CyclesIORC) and a (bio)Diesel engine. Turbines for the Organic Rankine Cycles are hermetic scroll expandergenerators. Sun tracking solar collectors are composed of rows of flat mirroi bands (CEP) arranged in a plane, which focus the solar energy onto...

This paper presents an application of fuzzy logic control to the distributed collector field of a solar power plant. The major characteristic of a solar power plant is that the primary energy source, solar radiation, cannot be manipulated. Solar radiation varies throughout the day, causing changes in plant dynamics and strong perturbations in the process. A special subclass of fuzzy inference s...

A feedback linearisation control scheme is proposed an implemented on a real solar power plant. This structure is based on a non-linear control methodology combined with a recurrent neural predictor. Given model plant mismatches it is crucial to provide the control system with an off-set compensation, being an internal model controller strategy used for this purpose. Experimental results collec...

The paper examines design and operating data of current concentrated solar power (CSP) 11 solar tower (ST) plants. The study includes CSP with or without boost by combustion of natural gas 12 (NG), and with or without thermal energy storage (TES). The latest, actual specific costs per 13 installed capacity are very high, 6085 $/kW for Ivanpah Solar Electric Generating System (ISEGS) 14 with no ...