In the complex working environment of Internet Things (IoT), there are many differences in work between devices, as well associations and energy constraints. The entire task scheduling system needs to consume a large amount for communication. order describe its relevance constraint relationship, traditional modeling methods need add number this paper, an loss optimization method based on multi-objective fuzzy algorithm is proposed. Based equipment cost time IoT environment, equation...

Refusal-Aware Instruction Tuning (RAIT) aims to enhance Large Language Models (LLMs) by improving their ability refuse responses questions beyond knowledge, thereby reducing hallucinations and reliability. Effective RAIT must address two key challenges: firstly, effectively reject unknown minimize hallucinations; secondly, avoid over-refusal ensure that can be correctly answered are not rejected, maintain the helpfulness of LLM outputs. In this paper, we challenges deriving insightful...

ABSTRACT Information flows are a theoretical explanation for stock market volatility, but controversy remains regarding how to measure them. Based on cross‐sectional and temporal properties of information flows, we decompose total trading volume into four types: cross‐country shocks country‐specific due arrivals private information, volatility public information. We then use Structural Vector Autoregressive model reconstruct historical resulted from the types shocks. The evidence shows that...

Different from traditional power allocation schemes in distributed antenna systems, a novel algorithm aiming at maximizing energy efficiency (EE) with low-complexity is presented this letter. The optimization process divided into two steps, the first step to find optimal number of antennas corresponding any fixed total dynamic constraints. second select greatest signal attenuation. Compared EE maximization methods, computation complexity greatly reduced while performance maintained....

To reach the CO2 emission peak and carbon neutrality, hydrogen has attracted a lot of attention as promising way to decarbonize building energy systems. However, due bidirectional conversion characteristics electricity, integrated into system may make multi-energy supply demand coupled, which need be well coordinated. The optimal coordination hydrogenenabled (HIES) is investigated in this paper. thermal dynamics devices rooms are considered precisely describe operation processes flexibility....

This paper studies the scheduling problem of material handling by AGV in complex stochastic production lines. We establish distribution rule that each is responsible for only one zone, thus reduce muti-vehicle to single-vehicle problem. Its difficult use exact model solve since related time issue. Most literature adopts heuristic or meta-heuristic methods. build discrete based on special structure our problem, adding constraints when loading and unloading events happen. The computational...

Detailed domestic electricity load profiles are important for small-scale distributed generation and plans DSM. They can be generated with top-down or bottom-up models. However, in those models all kinds of data sets needed. In this work we propose a simple method, which used to generate thousands only from different appliances' average hourly profiles. Different determined by activating moments energy use. These randomly the probability distributions extracted The constructed at higher time...

This study discusses a security-constrained unit commitment (SCUC) based optimal power tracing approach, which adopts the proportional method to trace flows of network for simultaneously satisfying physical contract paths and financial quantities bilateral transactions. Thus, solutions proposed model, including generation dispatch generators angle statuses phase shifters, would meet requirements transactions, in turn reduce impacts loop induced by transactions third parties networked system....

This paper proposes a logistics tracking information management system based on wireless sensor network, using nodes to track and manage information, designs networked achieve remote real‐time of information. The research work in this can mention the accuracy management, which has significant guiding significance security industry. first analyzes business process enterprises, obtains demand analysis system, divides whole into several functional modules according these modules, gives model...

In this paper, energy saving of two-tier network: macrocells overlaid by randomly distributed picos is considered. A pico on/off algorithm based on offload bandwidth proposed to save and improve the efficiency. Pico selection will be triggered when traffic load macro base station (BS) exceeds thresholds. The objective minimize number active picos. Simulation results show that can more compared with state art scheme.

The major obstacle toward wind farm integration is power mismatch between output and grid desirable generation due to uncertainty negative effect on peak load regulation. Storage can be used as assistance reduce this mismatch. Needed storage capacity for full level of acceptable only small-scale with qualified matching requirement. But when it comes large-scale one, huge unacceptable. In paper, a generation(MDG) pattern autonomous control strategy proposed quantify the assistance. minimum...

Price indicators are considered as the core of optimal allocation resources in electricity markets. Zonal pricing can provide more flexible price signals than nodal and uniform pricing, a reasonable division energy market into zones is essential. In this paper, topology based K-means clustering algorithm developed which starts from calculating locational marginal prices (LMPs) for certain period time characteristic values buses then clusters characterized by similar dynamic LMPs while taking...

A parallel multiplexing scheduling (PMS) scheme is proposed for distributed antenna systems (DAS), which greatly improves average system throughput due to multi-user diversity and multiplexing. However, PMS has poor fairness because of the use “best channel selection” criteria in scheduler. Thus we present a proportional fair (PPFS) scheme, combines with (PFS) achieve tradeoff between fairness. In PPFS, “relative signal noise ratio (SNR)” employed as metric select user instead throughput”...

We study an individualized electricity and thermal coupled pricing strategy for consumers with different demand profiles in industrial park. Firstly, a CHP cost minimization model the key parameter fitting errors is formulated. The load balance constraints, turbine power generation capacity constraints on/off grid electric energy are also considered this model. Then we use lagrangian multipliers to get real-time costs dual space based on marginal principles economics. To improve efficience...

With more wind power permeating into the grid, one of issues caused by its random output is fluctuation locational marginal price (LMP) which also affected system load. However, electricity will affect many aspects national economy. In order to cope with this issue, a demand response (DR) allocation mechanism presented in paper hedge LMP variability equal keep optimal basis invariant. Whether DR available when and load fluctuate within certain ranges estimated from perspective sensitivity...

In this paper, we investigate the power allocation for energy efficiency (EE) maximization in distributed antenna systems (DAS) constrained by hybrid minimum rate requirement. The optimization problem to maximize EE is non-convex. However, an equivalent convex can be obtained from original non-convex using nonlinear fractional programming. Due convexity of transformational problem, solution gap approaches zero when compared with its dual problem. Consequently, iterative algorithm derived...

As one of the most important parts in power system, electricity price forecasting has been a crucial factor for generation companies' (Genco) bidding strategies, through which Gencos can maximize their potential benefits. However, high income is always coupled with risk, as volatility, demand uncertainty, and strategies rivals. In this paper, strategy based on Market Clearing Price (MCP) risk management theory presented. A Genco's behavior modeled risky decision making process Genco aims to...

The main operation goal of smart buildings, considering the integration information and building physical systems, is to provide a more comfortable environment for indoor occupants. However, thermal usually set by an empirical value or manually adjusted under uncomfortable situations, where preferences different occupants in room are rarely considered. In this paper, we develop multiple preferences-based model predict group comfort. consists class-division part, one-class comfort zone part...

With the rapid growth of social electricity demand, in order to prevent accidental failure equipment substation, human resources and operation costs substation maintenance continue increase, so optimization has attracted great attention. This paper focuses on optimal coordination tasks substation. The problem is formulated as a mixed integer linear programming problem. objective minimize total traffic distance staff during execution which direct factor reflecting cost practice. In model...