Due to its reduced communication overhead and robustness failures, distributed energy management is of paramount importance in smart grids, especially microgrids, which feature generation (DG) storage (DS). Distributed economic dispatch for a microgrid with high renewable penetration demand-side operating grid-connected mode considered this paper. To address the intrinsically stochastic availability sources (RES), novel power scheduling approach introduced. The involves actual as well traded...

Crowdsourcing websites (e.g. Yahoo! Answers, Amazon Mechanical Turk, and etc.) emerged in recent years that allow requesters from all around the world to post tasks seek help an equally global pool of workers. However, intrinsic incentive problems reside crowdsourcing applications as workers requester are selfish aim strategically maximize their own benefit. In this paper, we propose provide incentives for exert effort using a novel game-theoretic model based on repeated games. As there is...

In this paper, we study a dynamic pricing and energy consumption scheduling problem in the microgrid where service provider acts as broker between utility company customers by purchasing electric from selling it to customers. For provider, even though is an efficient tool manage microgrid, implementation of highly challenging due lack customer-side information various types uncertainties microgrid. Similarly, also face challenges their uncertainty retail electricity price. order overcome...

IEEE 802.11p and 1609 standards are currently under development to support Vehicle-to-Vehicle Vehicle-to-Infrastructure communications in vehicular networks. For infrastructure-based relay networks, access probability is an important measure which indicates how well arbitrary vehicle can the infrastructure, i.e. a base station (BS). On other hand, connectivity probability, that all vehicles connected service coverage performance of network. In this paper, we develop analytical model with...

The cloud provides low-cost and flexible IT resources (hardware software) across the Internet. As more providers seek to drive greater business outcomes environments of become complicated, it is evident that era intelligent has arrived. faces several challenges, including optimizing economic service configuration adaptively allocating resources. In particular, there a growing trend toward using machine learning improve intelligence management. This article discusses an architecture resource...

Demand response (DR) control can effectively relieve balancing and frequency regulation burdens on conventional generators, facilitate integrating more renewable energy, reduce generation transmission investments needed to meet peak demands. Electric water heaters (EWHs) have a great potential in implementing DR strategies because: a) the EWH power consumption has high correlation with daily load patterns; b) they constitute significant percentage of domestic electrical load; c) heating...

Non-intrusive load monitoring addresses the challenging task of decomposing aggregate signal a household's electricity consumption into appliance-level data without installing dedicated meters. By detecting malfunction and recommending energy reduction programs, cost-effective non-intrusive provides intelligent demand-side management for utilities end users. In this paper, we boost accuracy disaggregation with novel neural network structure named scale- context-aware network, which exploits...

Integrating renewable energy into the modern power grid requires risk-cognizant dispatch of resources to account for stochastic availability renewables. Toward this goal, day-ahead market clearing with high-penetration wind is pursued in paper based on DC optimal flow (OPF). The objective minimize social cost which consists conventional generation costs, end-user disutility, as well a risk measure system re-dispatching cost. Capitalizing conditional value-at-risk (CVaR), novel model able...

Non-intrusive load monitoring (NILM) helps disaggregate a household's main electricity consumption to energy usages of individual appliances, greatly cutting down the cost fine-grained towards green home vision. To address privacy concern in NILM applications, federated learning (FL) could be leveraged for model training and sharing. When applying FL paradigm real-world however, we are faced with challenges edge resource restriction, personalization, data scarcity. We present FedNILM,...

Demand response has been recognized as an essential element of the smart grid. Frequency response, regulation and contingency reserve functions performed traditionally by generators are now starting to involve demand side resources. Additional benefits from include peak reduction load shifting, which will defer new infrastructure investment improve generator operation efficiency. Technical approaches designed realize these functionalities can be categorized into centralized control...

Through spatial multiplexing and diversity, multi-input multi-output (MIMO) cognitive radio (CR) networks can markedly increase transmission rates reliability, while controlling the interference inflicted to peer nodes primary users (PUs) via beamforming. The present paper optimizes design of transmit- receive-beamformers for ad hoc CR when CR-to-CR channels are known, but CR-to-PU cannot be estimated accurately. Capitalizing on a norm-bounded channel uncertainty model, optimal beamforming...

A large number of geo-distributed data centers begin to surge in the era deluge and information explosion. To meet growing demand massive processing, infrastructure future must be energy-efficient sustainable. Facing this challenge, a systematic framework is put forth paper integrate renewable energy sources (RES), distributed storage units, cooling facilities, as well dynamic pricing into workload management tasks center network. cope with RES uncertainty, resource allocation task...

The DC-DC converter for fuel cell vehicles should be characterized by high-gain, low voltage stress, small size and high-efficiency. However, conventional two-level, three-level cascaded boost converters cannot meet the requirements. A new non-isolated with switched-capacitor switched-inductor is proposed in this paper, which can obtain wide input range, stresses across components common ground structure. In operating principle, component parameters design, comparisons other high-gain are...

Minimum mean square error (MMSE) signal detection is near-optimal for uplink multi-user large-scale MIMO systems with hundreds of antennas at the base station, but involves matrix inversion high complexity. In this paper, we first prove that filtering MMSE algorithm in symmetric positive definite, based on which propose a low-complexity by exploiting Richardson method to avoid complicated inversion. The proof convergence proposed scheme also provided. We then zone-based initial solution...

Due to increasing threats of global warming and climate change concerns, green wireless communications have recently drawn intense attention toward reducing carbon emissions. Aligned with this goal, the present paper deals dynamic energy management for smart-grid powered coordinated multipoint (CoMP) transmissions. To address intrinsic variability renewable sources, a novel transaction mechanism is introduced grid-connected base stations that are also equipped an storage unit. Aiming...

This paper deals with the nonconvex power system state estimation (PSSE) problem, which plays a central role in monitoring and operation of electric networks. Given set noisy measurements, PSSE aims at estimating vector complex voltages all buses network. is challenging task due to inherent nonlinearity flows (PFs), for existing methods lack guaranteed convergence theoretical analysis. Motivated by these limitations, we propose novel convexification framework problem using semidefinite...