Saeed Hosseini

Saeed Hosseini
Université du Québec à Trois-Rivières · Département de Génie Électrique et Génie Informatique (GÉGI)

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15
Publications
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331
Citations

Publications

Publications (15)
Article
Demand Response (DR) programs show great promise for energy saving and load profile flattening. They bring about an opportunity for indirect control of end-users’ demand based on different price policies. However, the difficulty in characterizing the price-responsive behavior of customers is a significant challenge towards an optimal selection of t...
Article
Full-text available
The increase of Plug-in Electric Vehicles (PEVs) penetration in distribution systems necessitates processing strategic assets in order to deal with their energy needs. A careful investigation into matters related to PEV charging management under actual circumstances can be regarded as the critical step towards enabling this process. Accordingly, th...
Conference Paper
Full-text available
End-users’ electricity consumption is highly affected by weather conditions. The uncertain nature of these circumstances can highly challenge energy supply and demand balancing. The identification of explanatory variables that influence energy usage plays a key role in addressing this issue. This paper conducts a benchmark study of several machine...
Article
Load forecasting is an expected ability of electric power networks to enable effective capacity planning. This paper proposes a probabilistic approach to short-term load forecasting (STLF) of residential power consumption. The proposed method is based on Bayesian regression modeling. It utilizes an additive Gaussian Process (GP) to estimate climate...
Article
Full-text available
High penetration of selfish Home Energy Management Systems (HEMSs) causes adverse effects such as rebound peaks, instabilities, and contingencies in different regions of distribution grid. To avoid these effects and relieve power grid stress, the concept of HEMSs coordination has been suggested. Particularly, this concept can be employed to fulfill...
Article
Full-text available
Anomaly detection is a significant application of residential appliances load monitoring systems. As an essential prerequisite of load diagnosis services, anomaly detection is critical to energy saving and occupant comfort actualization. Notwithstanding, the investigation into diagnosis of household anomalous appliances has not been decently taken...
Article
Enabling diagnosis capabilities of Appliance Load Monitoring (ALM) necessitates providing in-operation information of appliances’ behavior. Due to both appliances’ time-varying model parameters and operations, household aggregated consumption has a dynamic structure. Existing time-invariant load models, built of off-line datasets with static inform...
Article
The household residual component of total power consumption can be considered as a portion of load demand describing the non-temperature-related factors. This component can be decomposed to irregular and predictable energy demands. The predictable component of the residual load include consumptions which are likely to have a periodic behavior. The...
Article
Full-text available
This paper investigates a non-intrusive approach of retrieving electric space heater (ESH) power profiles from a residential aggregated signal. In cold-climate regions with heating appliances controlled by electronic thermostats, an accurate non-intrusive recognition of power profiles is a challenging task. Accordingly, a robust disaggregation appr...
Article
The enhanced utilization of Appliance Load Monitoring (ALM) in customer sites enabled by Home Energy Management Systems (HEMS) technologies, offers customized services and enables demand side flexibility in power systems. The significant integration of advanced electrical and computer engineering tools makes the nonintrusive approach of ALM a techn...
Conference Paper
Home Energy Management System (HEMS) is acknowledged as a promised approach to explore household appliances dynamic energy usage. The availability of an appropriate dataset is indispensable to evaluate the performance of HEMS operations in the designing phase. In this paper, we develop a tool capable of generating long-term semi-synthetic data to a...
Article
The emergence and implementation of advanced smart grid technologies will enable enhanced utilization of Plug-in Electric Vehicles (PEVs) as MESS which can provide system-wide services. With significant penetration of PEVs in the near future, the concept introduced in literatures as Vehicle to Grid (V2G) will be practically possible. The V2G concep...
Conference Paper
Full-text available
The growth of customer preferences towards plug-in hybrid electrical vehicles (PHEVs) is becoming more than before. The batteries of these vehicles need to be charged through plugging-in electric grids at home or parking station. By increasing number of PHEVs, these electric loads might have the impacts on the power system efficiency. The impacts s...
Conference Paper
Full-text available
The emergence and implementation of advanced smart grid technologies will enable enhanced utilization of electric vehicles (EVs) as mobile energy storage devices which can provide system-wide services. With significant penetration of EVs in the near future, the concept, introduced in literature as vehicle to grid (V2G), will be practically possible...

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