Nilson Fernando Henao

Nilson Fernando Henao
Université du Québec à Trois-Rivières · Département de Génie Électrique et Génie Informatique (GÉGI)

Ph.D.

About

37
Publications
2,392
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429
Citations
Citations since 2016
29 Research Items
387 Citations
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Introduction
I received my B.S. degree in electronics engineering from the Universidad de los Llanos, Villavicencio, Colombia, in 2010, and my M.Sc. degree in Electrical Engineering from the University of Quebec at Trois-Rivieres (UQTR), Trois-Rivieres, QC, Canada in 2013, and my Ph.D. degree in Electrical Engineering from the UQTR in 2018. My research concerns Bayesian methods for machine learning with applications to residential energy analysis, nonintrusive load monitoring (NILM) and energy efficiency evaluation of electric vehicles.
Additional affiliations
February 2011 - present
Université du Québec à Trois-Rivières
Position
  • Research Assistant
January 2011 - present
Université du Québec à Trois-Rivières
Position
  • Research Assistant

Publications

Publications (37)
Conference Paper
The Non-Intrusive Load Monitoring (NILM) concept is suggested as a practical means for energy monitoring at the most disaggregated level. Notwithstanding, a viable solution to this idea for residential applications should overcome its common and specific issues raised by technical specifications of the case study. Knowing the fact that the former h...
Conference Paper
Full-text available
Electrification of space heating can help reduce greenhouse gas emissions, especially when coupled with advanced control strategies and leveraging building energy flexibility. A methodology to automatically generate accurate control-oriented building models is an important part of quantifying the energy flexibility of a house. This study presents a...
Conference Paper
Full-text available
This paper examines the impact of building zoning on demand flexibility potentials. The building thermal dynamic response is modeled by using the state-space representation method. The comfort preference of the occupants is defined by statistical analysis of set-point temperature patterns. The created models are used to study energy flexibility thr...
Article
Full-text available
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...
Article
Full-text available
Flexibility from demand-side resources is increasingly required in modern power systems to maintain the dynamic balance between demand and supply. This flexibility comes from elastic users managing controllable loads. In this context, controlling Electric Space Heaters (ESHs) is of particular interest because it can leverage building inner thermal...
Article
Full-text available
Order picker routing refers to the process of collecting a set of products with the minimum travel time. Recently, a new generation of Automated Guided Vehicles (AGVs) has been developed to assist human order pickers in order to minimize their travel time. These vehicles are using battery as energy source. However, the routing energy efficiency asp...
Article
Full-text available
Spot markets provide an interesting opportunity for profit maximization by energy trading based on immediate decisions on participant bids. However, their short market-clearing time can affect computational efficiency, search space, and reliability of price-energy allocation to bidding participants. Accordingly, developing a prompt and effective de...
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
Transactive Energy (TE) has brought exciting opportunities for all stakeholders in energy markets by enabling management decentralization. This new paradigm empowers demand-side agents to play a more active role through coordinating, cooperating, and negotiating with other agents. Nevertheless, most of these agents are not used to process market si...
Article
Full-text available
Due to the impact of human lifestyle on building energy consumption, the development of occupants’ behavior models is crucial for energy-saving purposes. In this regard, occupancy modeling is an effective approach to intend such a purpose. However, the literature reveals that existing occupancy models have limitations related to the representation...
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
Human preferences and lifestyles significantly impact buildings’ energy consumption. Consequently, a better understanding of occupants’ behavior is crucial to decrease energy consumption and maintain occupants’ comfort. Occupant-centric control (OCC) strategies are effective approaches to fulfil such a purpose. As such, occupancy detection and pred...
Article
Detailed occupancy information in buildings is useful to improve the performance of energy management systems in order to enable energy consumption savings and maintain occupants' comfort. Different technologies employed to provide occupancy information account for high-precision devices such as optical and thermal cameras, and environmental or spe...
Conference Paper
Full-text available
The widespread presence of plug-in Electric Vehicles (PEVs) in distribution power grids brings significant concerns regarding their energy demand and peak power requirements. In order to reduce the PEV load impact on power distribution networks, different strategies have been proposed based on the electricity price. This paper proposes a PEV chargi...
Article
Full-text available
An efficient participation of prosumers in power system management depends on the quality of information they can obtain. Prosumers actions can be performed by automated agents that are operating in time-changing environments. Therefore, it is essential for them to deal with data stream problems in order to make reliable decisions based on the most...
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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...
Conference Paper
Full-text available
The emergence of line-voltage communicating thermostats (LVCT) prompts for new opportunities for energy management in homes equipped with heating systems such as baseboard heaters. To capture either energy savings or demand response opportunities, one should first determine how the technology is actually used in homes where each room is in a differ...
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...
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...
Conference Paper
Although a diversity of approaches towards Non-Intrusive Load Monitoring (NILM) are now available, complementary studies must be carried out in order to improve load modeling and consequently increase load recognition accuracy. This paper presents a study on active power appliances' modeling when only low-frequency granularities are considered. The...
Article
In this paper, a low-sampling-rate and nonintrusive appliance loads monitoring (NIALM), which required only few tuning parameters and which is little sensitive to the grid power noise, is presented. Using transformed active power transitions as features, the proposed approach is based on the subtractive clustering and the maximum likelihood classif...
Article
This paper presents the development of a power interface for a fuel cell (FC) system supplying an ac load. The proposed system comprises a two stages conditioning system, including a switched capacitor dc–dc boost converter and a full bridge insulated-gate bipolar transistor (IGBT) single-phase inverter (dc–ac converter). A fully digital control st...
Article
This paper addresses the optimal battery charging schedule for a long trip. Starting with a fully charged battery, the electric vehicle must stop at least once for battery charging before reaching the trip destination. Since the battery lifespan is thoroughly related to its depth-of-discharge and since the charging time can be long, it is therefore...
Article
This paper investigates a hydrogen-based genset maximum efficiency tracking problem in the context of electric vehicle range extension. This genset is cheaper than fuel cells and has the desirable property of being greenhouse gas emission free in addition to being less pollutant than the conventional gasoline based gensets. Using Taylor's series, a...
Article
This paper investigates the Proton Exchange Membrane Fuel Cell (PEMFC) Cold Startup problem within the specific context of the Plugin Hybrid Electric Vehicles (PHEV). A global strategy which aims at providing an efficient method to minimize the energy consumption during the startup of a PEMFC is proposed. The overall control system is based on a su...
Article
This paper investigates the design of a two-layer energy-management system for a fuel cell hybrid electric vehicle (HEV). The first layer (upper layer) deals with the vehicle energy consumption, whereas the second layer (lower layer) deals with the power splitting between the fuel cell and the battery. The upper layer aims at providing the globally...
Conference Paper
A global strategy which aims at providing a method to manage a PEMFC thermal behavior of an electric vehicle is proposed. The Energy Management System (EMS) plays the role of the power flow supervisor and provides the time-to-start the fuel cell based on the battery energy depletion during the trip. Taking into account the freezing operating condit...

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