Demand Response Management (DRM) is a key component of the future smart grid that helps to reduce power peak load and variation. Different from most existing studies focus on scenario with single utility company, this paper DRM multiple companies. First, interaction between companies residential users modeled as two-level game. That is, competition among formulated non-cooperative game, while an evolutionary Then, we prove proposed strategies are able make both games converge their own...

In this paper, the benefits of distributed energy resources are considered in an management scheme for a smart community consisting large number residential units (RUs) and shared facility controller (SFC). A noncooperative Stackelberg game between RUs SFC is proposed order to explore how both entities can benefit, terms achieved utility minimizing total cost respectively, from their trading with each other grid. From properties game, it shown that maximum benefit SFC, reduction cost,...

This paper studies the solution of joint energy storage (ES) ownership sharing between multiple shared facility controllers (SFCs) and those dwelling in a residential community. The main objective is to enable units (RUs) decide on fraction their ES capacity that they want share with SFCs community order assist them storing electricity, e.g., for fulfilling demand various facilities. To this end, modified auction-based mechanism designed captures interaction RUs so as determine auction price...

Multiple channels in Wireless Sensor Networks (WSNs) are often exploited to support parallel transmission and reduce interference. However, the extra overhead posed by multi-channel usage coordination dramatically challenges energy-constrained WSNs. In this paper, we propose a Regret Matching based Channel Assignment algorithm (RMCA) address challenge, which each sensor node updates its choice of according historical record these channels' performance The advantage RMCA is that it highly...

Successful deployment of smart grids necessitates experimental validation their state-of-theart designs in two-way communications, real-time demand response, and monitoring consumers' energy usage behavior. The objective is to observe pattern exploit this information assist the grid designing incentives, management mechanisms, response protocols, so as help achieve lower costs improve supply stability. Further, by feeding observed back consumers instantaneously, it also possible promote...

In this paper, we consider the optimal meeting scheduling problem in a commercial building over fixed period of time, with objectives minimizing cost energy consumption by air-conditioning system and possibly achieving more balanced power distribution. By considering set realistic factors, including eligible time slots attendees characteristics rooms, is formulated as constrained mixed-integer linear program, which then can be solved an optimization solver, e.g., CPLEX. However, because...

This paper investigates the feasibility of using a discriminate pricing scheme to offset inconvenience that is experienced by an energy user (EU) in trading its with controller smart grid. The main objective encourage EUs small distributed resources (DERs), or high sensitivity their inconvenience, take part via providing incentive them relatively higher payment at same time as reducing total cost controller. proposed modeled through two-stage Stackelberg game describes between shared...

In this paper, as a fundamental problem in smart grid, the residential load scheduling is studied comprehensive way. The main contributions lie twofold. First, three indices, i.e., power consumption expense, robustness of schedule subject to uncertain electricity price and satisfaction customer, are taken into full consideration. We propose optimize simultaneously indices via convex optimization. Second, order fully characterize operation states appliances, both binary continuous variables...

In this paper, we study power allocation in cognitive sensor networks where users (cognitive enabled nodes) opportunistically share a common spectrum with primary (licensed devices). We define an energy efficiency-oriented utility function as new metric to evaluate allocation. Consider that nodes are self-interested maximize their own utility, formulate the efficient problem non-cooperative game. firstly prove there exist Nash equilibriums proposed Secondly, game is supermodular some...

We develop a mathematical programming approach to schedule meetings in an organization over fixed period of time, while minimizing the wasted energy and possibly achieving more balanced demand distribution. The problem is formulated as mixed integer linear program subject set realistic constraints including people's available time slots consumption characteristics meeting rooms. Two objective functions are considered: total used cost. Our simulations illustrate that using optimal may result...

This paper studies a three party energy management problem in user interactive smart community that consists of large number residential units (RUs) with distributed resources (DERs), shared facility controller (SFC) and the main grid. A Stackelberg game is formulated to benefit both SFC RUs, terms incurred cost achieved utility respectively, from their trading each other The properties are studied it shown there exists unique equilibrium (SE). novel algorithm proposed can be implemented...

A linear decision binary tree structure is proposed in constructing piecewise classifiers with the genetic algorithm (GA) being shaped and employed at each nonterminal node to search for a function optimal sense of maximum impurity reduction. The methodology works both two-class multiclass cases. In comparison several other well known methods, tree-genetic (BTGA) demonstrated produce much lower cross validation misclassification rate. Finally, modified BTGA applied important pap smear cell...

Due to the fast development of deep learning, products and services based on artificial intelligence (AI) have been transformed from concept reality. However, there still exist huge challenges when applying AI technologies in traditional industrial enterprises. This paper studies those key that support business management applications power grid enterprise perspective, where state-of-the-art use cases investigated. Finally, potential developing trends are foreseen by considering innovation...

This paper studies an energy management scheme for heating, ventilation and air-conditioning (HVAC) systems of organization over a fixed period time. The objective is to minimize the peak demand thus achieve more balanced distribution. In this context, optimization problem formulated as mixed integer linear program (MIP) subject set realistic constraints. A novel inconvenience index defined describe range modification HVAC's temperature set-point its subsequent effects on office employees....

In the last years, Knowledge Graph (KG) has been widely applied in domain knowledge modeling, and therefore received more attention Ubiquitous Power Internet of Things (UPIoT) that consists a large number power terminal equipment sensing devices. this paper, we propose an automatic framework to construct graph by extracting ontological information instantiating objects from relational data equipment. First, concepts hierarchy between are built analyzing schemas different types devices their...

The statistical tools of complex network analysis and the development theory offer a new approach into exploration power grids. As capacity grid increases, structure becomes more complicated to some extent that will impair our perception Hence in this paper we apply Louvain heuristic algorithm detecting community We find IEEE 118-bus system is significant strong structure, with modularity reaching 0.8. Besides, when use reciprocal reactance as weight edge, larger than homogenous edge. This...

With the increasing number of power terminal devices in systems, fault diagnosis based on textual data has become a challenging task. Classification technology plays an important role system diagnosis. In this paper, we propose TextCNN approach to multi-label text classification for analyzing devices. First, main category labels faults and failure were constructed. The dataset was preprocessed feature representation. Next, adopted model texts. experimental results show that proposed method...

Successful deployment of smart grids necessitates experimental validities their state-of-the-art designs in two-way communications, real-time demand response and monitoring consumers' energy usage behavior. The objective is to observe pattern exploit this information assist the grid designing incentives, management mechanisms, protocols; so as help achieving lower costs improve supply stability. Further, by feeding observed back consumers instantaneously, it also possible promote efficient...

The1 topology analysis of the power grid is basis information system and has important significance for construction smart grid. In recent years, because large-scale management penetrated into rural low-voltage grids, together with major business operations such as marketing, distribution, dispatching, realization high-performance become focus construction. The paper presents a tool based on graph database named Neo4j, by way transforming data to data, storage Neo4j database. Experiments...

Despite the vast range of images that we might categorize as an example a particular natural scene category (e.g., beach), human observers are able to quickly and efficiently even briefly presented these scenes. However, within “beach”, for example, some will be more representative than others. We asked whether participants' ability scenes differed depending on were good or bad examples scene. 3000 from six categories (beaches, city streets, forests, highways, mountains offices) first rated...