Real-time price savings through price suggestions for the smart grid demand response model

Mahmud, Asm Ashraf; Sant, Paul

doi:10.1109/sgcf.2017.7947603

Cited by 18 publications

(7 citation statements)

References 14 publications

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“…Smart meter data can be analyzed to discover the consumer's lifestyle. Different terms are used in the literature for this concept, including: pattern discovery, occupant behavior, lifestyle discovery, activity-based loading profiling, and routine discovery [24], [34]- [36]. This task is mostly performed by implementing rule-based algorithms that are used to extract useful information from the data set, and then to define appropriate IF-THEN rules for the system.…”

Section: Occupant Behaviormentioning

confidence: 99%

“…In the literature, various techniques were used for occupant behavior identification but all of them have two main steps: discovering frequent itemsets and generating association rules based on the frequent itemsets. for instance, Hidden Markov Models (HMMs) to [37] and Association rule mining (ARM) [34]. The goal of motif discovery is to find frequently recurring subsequences in a time series.…”

Section: Occupant Behavior Techniquesmentioning

confidence: 99%

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A Taxonomy of Smart Meter Analytics: Forecasting, Knowledge Discovery, and Power Management

Eskandarnia¹,

Al-Ammal²

2022

IJCDS

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Section: Occupant Behaviormentioning

confidence: 99%

Section: Occupant Behavior Techniquesmentioning

confidence: 99%

A Taxonomy of Smart Meter Analytics: Forecasting, Knowledge Discovery, and Power Management

Eskandarnia¹,

Al-Ammal²

2022

IJCDS

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“…The great challenge for energy companies is to define the communication requirements and determine the best communication technology to manage the data and respond by ensuring a safe, low-cost, and reliable service for the entire system. Actually, there are several communication technologies that allow the connection among smart meters, sensors and the control center [17,18].…”

Section: Taxonomymentioning

confidence: 99%

A Comprehensive Review on Smart Grids: Challenges and Opportunities

Escobar

Matamoros

Tejeida-Padilla

et al. 2021

Sensors

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Recently, the operation of distribution systems does not depend on the state or utility based on centralized procedures, but rather the decentralization of the decisions of the distribution companies whose objectives are the efficiency of interconnectivity. Therefore, distribution companies are exposed to greater risks, and due to this, the need to make decisions based on increasingly reliable models has grown up considerably. Therefore, we present a survey of key aspects, technologies, protocols, and case studies of the current and future trend of Smart Grids. This work proposes a taxonomy of a large number of technologies in Smart Grids and their applications in scenarios of Smart Networks, Neural Networks, Blockchain, Industrial Internet of Things, or Software-Defined Networks. Therefore, this work summarizes the main features of 94 research articles ranging the last four years. We classify these survey, according Smart Grid Network Topologies, because it can group as the main axis the sensors applied to Smart Grids, as it shows us the interconnection forms generalization of the Smart Networks with respect to the sensors found in a home or industry.

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“…In article [7], the new model considering the Real-Time Demand Response Pricing scenario in the smart grid was tested. The Pricing Suggestion Unit was proposed based on a real-time pricing algorithm by considering users' preferences using stochastic optimisation techniques, better than real-time pricing.…”

Section: Review Of the Literaturementioning

confidence: 99%

Power Scheduling Scheme for DSM in Smart Homes with Photovoltaic and Energy Storage

Zator¹

2021

Energies

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This article presents a case study of a single-family house with several photovoltaic micro-installations oriented in different directions, in which the energy electricity storage systems have been operating for several months. In the house, the heat source is the air–water heat pump cooperating with heat buffers. The first photovoltaic installation was installed in 2016 and, in the subsequent five years, was expanded using microinverters. The final amount of energy from photovoltaics covers 50% of the energy demand of the building. The procedure for dealing with technical and economic aspects was presented, allowing us to determine whether it is profitable to install energy storage in the given conditions of energy prices, equipment efficiency, and prices, as well as government support. This paper presents the effects of the designed and built home energy management system that supervises energy storage in heat and batteries, mainly through its impact on the self-consumption of energy from the photovoltaic system and on final costs. Comparative calculations were performed with the demand-side management, which dictated the instantaneous energy costs. Attention was paid to the possibility of obtaining a high self-consumption, but the economic calculations showed that it was not always beneficial. An annual self-consumption increased by approximately one-sixth upon installation of the electrical energy storage system and by one-third from the start of use of the home energy management system. Concurrently, by utilising energy storage in heat and batteries, almost 95% of energy was consumed in the cheapest multi-zone tariff. The impact of inverters and battery charging systems on the power grid is also presented. Often, when the active energy was nearing zero, the capacitive reactive energy was significant.

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Real-time price savings through price suggestions for the smart grid demand response model

Cited by 18 publications

References 14 publications

A Taxonomy of Smart Meter Analytics: Forecasting, Knowledge Discovery, and Power Management

A Taxonomy of Smart Meter Analytics: Forecasting, Knowledge Discovery, and Power Management

A Comprehensive Review on Smart Grids: Challenges and Opportunities

Power Scheduling Scheme for DSM in Smart Homes with Photovoltaic and Energy Storage

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