The industrial sector accounts for approximately 65% of global energy consumption, with projections indicating a steady annual increase 1.2% in demand. In the context growing concerns about climate change and need sustainable solutions, solar thermal has emerged as promising technology reducing reliance on fossil fuels. With its ability to provide high-efficiency heat processes at temperatures ranging from 150 °C over 500 °C, power generation offers significant potential decarbonizing...

Solar energy is an abundant renewable resource; the reaching Earth from sunlight in just one hour exceeds annual consumption of all humankind. Concentrated solar power (CSP), as a grid-friendly clean utilization method, has unique development advantages. The CSP system can be equipped with relatively mature, low-cost, large-capacity thermal storage, ensuring stable and controllable generation. As low-carbon economy progresses, coupling between electricity, heat, gas systems increasing....

Image segmentation is a necessary step in image analysis. Support vector machine considered good candidate because of its generalization performance, especially when the number training samples very small and dimension feature space high. The presented paper investigates using support machine. Experimental results show that promising technique segmentation.

Abstract The increasing penetration of distributed energy resources (DERs) has led to research interest in the cooperative control multi‐prosumers a transactive (TE) paradigm. While existing literature shows that TE offers significant grid flexibility and economic benefits, few studies have addressed incorporation security constraints TE. Herein, market‐based mechanism real‐time markets is proposed economically coordinate among prosumers while ensuring secure system operation. Considering...

An adaptive fuzzy switching filter is presented that adopts a logic approach for the enhancement of images corrupted by impulse noise. In order to achieve optimal detail preservation, we develop maximum-minimum exclusive median method estimate current pixel. Simulation results indicate proposed impressively outperforms other techniques in terms noise suppression and preservation across wide range corruption, ranging from 1% 90%.

Due to the outputs of wind power and solar have natural complementarity in time space, combined can reduce random, intermittent volatility output, so establishment their joint distribution function improve level evaluation solar. Therefore, based on sequential output data wind/solar jibei grid, this article gets cumulative by kernel density estimation, structures two binary Copula connect function. In view new energy accessing area which is constrained transmission channel, above function,...

In recent years, with the rapid development of pumped storage, most storage power stations will participate in electricity market as independent subjects future. Based on time series analysis, this paper constructs an offer prediction model for bilateral negotiated transactions, predicts settlement price and calculates generation cost through marginal accounting method. On basis, establishes a bargaining transactions by introducing Rubinstein's theory transaction model, analyzing...

At present, with the rapid development of wind power, issue power curtailment is getting worse in China. So, this article introduces forecasting and market mechanism into distribution transmission channel, designs a day-ahead trading farms' generation margin based on which draws lesson from mode right. Next, sets up strategy model for buyers sellers theirs day-head to get most benefit. Example given indicate that practicable can increase yield participants improve efficiency also affirm be...

Infrared images exhibit considerable variations in probability distributions, stemming from the utilization of distinct infrared sensors and influence diverse environmental conditions. The pose great challenges for deep learning models to detect ship objects adapt unseen maritime environments. To address domain shift problem, we propose an end-to-end object detection model based on meta-learning neural network improve adaptation target where data is not available at training phase. Different...

Storage of low-grade diatomite can lead to environmental pollution. This study prepares a diatomite-based cementitious material (LGDCM) and assesses the influence CaO/SiO2 (C/S) molar ratio on LGDCM strength within diatomite–lime–desulfurized gypsum system. The carbon emissions from were quantified, strength-formation mechanism microstructure evolution determined using traditional characterization methods. was optimized at C/S 1.3 desulfurized content 2wt.%. compressive flexural strengths 28...

Active power dispatch of new energy refers to an effective method ensuring the stable operation and optimal economic benefits systems through scientific rational planning control active output from generation. However, as proportion increases, system’s voltage support capacity decreases, leading potential collapse oscillation issues. The Multiple Renewable Energy Station Short-Circuit Ratio (MRSCR) is a critical indicator for with high penetration. This study aims introduce MRSCR constraints...

To investigate the impacts of land use and cover change (LULCC) on regional climate in Northeast China, weather research forecasting (WRF) model was run with satellite type, vegetation fraction (Fg), leaf area index, albedo 2001 2018, respectively, results were compared. The major LULCC during 2001–2018 conversions from grasslands to croplands over central regions China woody savannas deciduous broadleaf forests northern eastern portions China. changes Fg are highly correlated daytime...