We build upon previous work out of UC Berkeley’s energy, controls, and applications laboratory (eCal) that developed a model for price prediction of the energy day-ahead market (DAM) and a stochastic load scheduling for distributed energy resources (DER) with DAM based objective [3]. In similar fashion to the work of Travacca et al., in this project we take the standpoint of a DER aggregator po...

In this paper three metaheuristics are used to solve a smart grid multi-objective energy management problem with conflictive design: how to maximize profits and minimize carbon dioxide (CO2) emissions, and the results compared. The metaheuristics implemented are: weighted particle swarm optimization (W-PSO), multi-objective particle swarm optimization (MOPSO) and non-dominated sorting genetic a...

Flexibility in power demand, diverse usage patterns and storage capability of plug-in electric vehicles (PEVs) grow the elasticity of residential electricity demand remarkably. This elasticity can be utilized to form the daily aggregated demand profile and/or alter instantaneous demand of a system wherein a large number of residential PEVs share one electricity retailer or an aggregator. In thi...

This chapter focuses on an important, challenging and yet largely unaddressed problem in Wireless Sensor Networks (WSN) data communication: detecting cheating aggregators and malicious/selfish discarding of data reports en route to the Base Stations (BSs). If undetected, such attacks can significantly affect the performance of applications. The goal is to make the aggregation process tamper-res...

Background: Quality control for real-time spatio-temporal data is often presented from the perspective of the original owner and provider of the data, and focuses on general techniques for outlier detection or uses domain-specific knowledge and rules to assess quality. The impact of quality control on the data aggregator and redistributor is neglected. As sensor networks proliferate, multiple p...

The existing retail market arrangements for investment in distributed energy technologies, including household solar PV systems, are not well aligned with the economic value that these technologies can provide within the electricity industry. In particular, these commercial arrangements fail to account for temporal and spatial variations in costs and benefits across market participants. The stu...

Continuous aggregation queries over dynamic data are used for real time decision making and timely business intelligence. In this paper we consider queries where a client wants to be notified if the ratio of two aggregates over distributed data crosses a specified threshold. Consider these scenarios: a mechanism designed to defend against distributed denial of service attacks may be triggered w...

Federal energy regulatory commission (FERC) Order #2222 prescribes that distributed resources (DERs) with 100 kW or more capacity in aggregate should be allowed to participate organized electricity markets. Most aggregation is via a combination of disparate DER technologies such as solar, wind, storage, electric vehicles, and smart load units. Another stumbling block enabling participation DERs...

BLOOD VESSEL DISEASES Blood vessels have a primary function of nourishing various organs and tissues of the body by supplying them with blood. Vascular diseases are manifested clinically through three mechanisms that are reflected through the diseased vessel (s) as 1. Progressive narrowing of the lumen associated with progressive ischemia of the relevant tissues. 2. Thrombosis associated with p...

In online platforms, recommender systems are responsible for directing users to relevant content. order enhance the users’ engagement, adapt their output reactions of users, who are, in turn, affected by recommended this article, we study a tractable analytical model user that interacts with an news aggregator, purpose making explicit feedback loop between evolution user’s opinion and personali...