scholarly journals Design of Ensemble Forecasting Models for Home Energy Management Systems

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7664
Author(s):  
Karol Bot ◽  
Samira Santos ◽  
Inoussa Laouali ◽  
Antonio Ruano ◽  
Maria da Graça Ruano
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Simple Procedure ◽  
Ensemble Forecasting ◽  
Management Systems ◽  
Energy Forecasting ◽  
Energy Management Systems ◽  
Ensemble Techniques ◽  
Home Energy Management ◽  
Home Energy Management System

The increasing levels of energy consumption worldwide is raising issues with respect to surpassing supply limits, causing severe effects on the environment, and the exhaustion of energy resources. Buildings are one of the most relevant sectors in terms of energy consumption; as such, efficient Home or Building Management Systems are an important topic of research. This study discusses the use of ensemble techniques in order to improve the performance of artificial neural networks models used for energy forecasting in residential houses. The case study is a residential house, located in Portugal, that is equipped with PV generation and battery storage and controlled by a Home Energy Management System (HEMS). It has been shown that the ensemble forecasting results are superior to single selected models, which were already excellent. A simple procedure was proposed for selecting the models to be used in the ensemble, together with a heuristic to determine the number of models.

scholarly journals A Case Study of Socially-Accepted Potentials for the Use of End User Flexibility by Home Energy Management Systems

2020 ◽  
Vol 13 (1) ◽  
pp. 132
Author(s):  
Christian Pfeiffer ◽  
Markus Puchegger ◽  
Claudia Maier ◽  
Ina V. Tomaschitz ◽  
Thomas P. Kremsner ◽  
...  
Keyword(s):  
Energy Management ◽  
Management System ◽  
Management Systems ◽  
System Support ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Sample Area ◽  
Home Energy Management ◽  
Support Optimization ◽  
Home Energy Management System

Due to the increase of volatile renewable energy resources, additional flexibility will be necessary in the electricity system in the future to ensure a technically and economically efficient network operation. Although home energy management systems hold potential for a supply of flexibility to the grid, private end users often neglect or even ignore recommendations regarding beneficial behavior. In this work, the social acceptance and requirements of a participatively developed home energy management system with focus on (i) system support optimization, (ii) self-consumption and self-sufficiency optimization, and (iii) additional comfort functions are determined. Subsequently, the socially-accepted flexibility potential of the home energy management system is estimated. Using methods of online household survey, cluster analysis, and energy-economic optimization, the socially-accepted techno-economic potential of households in a three-community cluster sample area is computed. Results show about a third of the participants accept the developed system. This yields a shiftable load of nearly 1.8 MW within the small sample area. Furthermore, the system yields the considerably larger monetary surplus on the supplier-side due to its focus on system support optimization. New electricity market opportunities are necessary to adequately reward a systemically useful load behavior of households.

scholarly journals Willingness to Pay for Home Energy Management Systems: A Survey in New York and Tokyo

2019 ◽  
Vol 11 (17) ◽  
pp. 4790 ◽  
Author(s):  
Ayu Washizu ◽  
Satoshi Nakano ◽  
Hideo Ishii ◽  
Yasuhiro Hayashi
Keyword(s):  
New York ◽  
Willingness To Pay ◽  
Automatic Control ◽  
Energy Management ◽  
Control Function ◽  
Management Systems ◽  
Energy Management System ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Home Energy Management System

This study evaluates the acceptability of home energy management systems (HEMS) in New York and Tokyo using a questionnaire survey. We investigated three basic functions of HEMS: money saving, automatic control, and environmental impact, and then quantified people’s propensity to accept each of these three functions by measuring their willingness to pay. Using the willingness to pay results, we estimated the demand probability under a given usage price for each of the three functions of home energy management systems and analyzed how socio-economic and demographic factors influence the demand probability. The demand probability related to a home energy management system function decreases as the usage price of the function increases. However, depending on people’s socio-economic characteristics, the rate of decrease in demand probability relative to the rate of increase in usage price varies. Among the three functions of home energy management systems, we found that the automatic control function showed the highest demand probability in New York and Tokyo, emphasizing the significance of an automatic control function. In New York, when the home energy management system has an automatic control function, its demand probability increases, which is further enhanced if people trust their utility company. In Tokyo, when a home energy management system has an environmental impact function, its demand probability increases at a given price. People in Tokyo have anxieties related to new technologies such as home energy management systems. Therefore, it is necessary to enhance their comprehension of a home energy management systems to address this anxiety.

scholarly journals Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

2021 ◽  
Vol 8 (7) ◽  
pp. 50-66
Author(s):  
Mahmood et al. ◽  
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Information And Communication Technologies ◽  
Energy Management ◽  
Optimization Problems ◽  
Consumption Patterns ◽  
Management Systems ◽  
Residential Sector ◽  
Energy Management Systems ◽  
Home Energy Management

Fusion of Information and Communication Technologies (ICT) in traditional grid infrastructure makes it possible to share certain messages and information within the system that leads to optimized use of energy. Furthermore, using Computational Intelligence (CI) in the said domain opens new horizons to preserve electricity as well as the price of consumed electricity effectively. Hence, Energy Management Systems (EMSs) play a vital role in energy economics, consumption efficiency, resourcefulness, grid stability, reliability, and scalability of power systems. The residential sector has its high impact on global energy consumption. Curtailing and shifting load of the residential sector can result in solving major global problems and challenges. Moreover, the residential sector is more flexible in reshaping power consumption patterns. Using Demand Side Management (DSM), end users can manipulate their power consumption patterns such that electricity bills, as well as Peak to Average Ratio (PAR), are reduced. Therefore, it can be stated that Home Energy Management Systems (HEMSs) is an important part of ground-breaking smart grid technology. This article gives an extensive review of DSM, HEMS methodologies, techniques, and formulation of optimization problems. Concluding the existing work in energy management solutions, challenges and issues, and future research directions are also presented.

scholarly journals Estimation of Self-Sufficiency Rate in Detached Houses Using Home Energy Management System Data

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 975
Author(s):  
Masato Oota ◽  
Yumiko Iwafune ◽  
Ryozo Ooka
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Management Systems ◽  
Household Type ◽  
Energy Management Systems ◽  
Household Sector ◽  
Water Heaters ◽  
Self Sufficiency ◽  
Home Energy Management ◽  
Reduce Energy Consumption

Japan’s energy consumption in 2018 was about 2.5 times that in 1975, with the increase in the household sector being the largest at 28%. Most of primary energy is still fossil fuel, and it is urgent to reduce energy consumption in the household sector. The purpose of this paper was to identify ways to reduce household energy consumption without compromising the quality of life in residence. However, the reduction methods vary by region, building specifications, household type, equipment specifications, season, and weather. The value of this paper is based on a systematic analysis of home energy management systems (HEMS) data from about 50,000 households under various conditions. We are analyzing ways to reduce energy consumption. Few studies have analyzed this much back-up data, which is likely to lead to a reduction in CO2 emissions across the household sector. To explore ways to reduce energy consumption in this sector, the company has introduced and provided services for home energy management systems (HEMS) since 2011 and is currently collecting HEMS data for up to 50,000 households. In order to grasp the actual state of energy consumption in each household, HEMS data are systematically analyzed, necessary conditions for energy reduction and self-sufficiency rate (SSR) improvement are analyzed, and energy consumption under certain conditions is estimated using storage batteries (SB) and heat pump water heaters (HPWH). In addition, energy consumption was investigated by actual measurement and simulation for several hundred households. Since power generation and consumption vary greatly depending on the region, building specifications, household type, equipment specifications, season, weather, etc., it is necessary to analyze these factors systematically. As a conclusion, in order to improve SSR, it is necessary to (1) reduce surplus power consumption and energy consumption of heat pump water heaters (HPWHs), (2) increase solar power generation, and (3) increase the size of SB. This study contributes to the spread of advanced housing and the reduction of CO2 emissions in the household sector.

scholarly journals Blockchain-Enabled Transactive Home Energy Management Systems in Distribution Networks

2020 ◽  
Author(s):  
Lawryn Edmonds ◽  
Bo Liu ◽  
Hongyu Wu ◽  
Hang Zhang ◽  
Don Gruenbacher ◽  
...  
Keyword(s):  
Energy Management ◽  
Distribution System ◽  
Distribution Networks ◽  
Electric Utility ◽  
Management Systems ◽  
Energy Management Systems ◽  
Customer Information ◽  
Viable Solution ◽  
Home Energy Management ◽  
System Operator

As home energy management systems (HEMSs) are implemented in homes as ways of reducing customer costs and providing demand response (DR) to the electric utility, homeowner’s privacy can be compromised. As part of the HEMS framework, homeowners are required to send load forecasts to the distribution system operator (DSO) for power balancing purposes. Submitting forecasts allows a platform for attackers to gain knowledge on user patterns based on the load information provided. The attacker could, for example, enter the home to steal valuable possessions when the homeowner is away. In this paper, we propose a framework using a smart contract within a private blockchain to keep customer information private when communicating with the DSO. The results show the HEMS users’ privacy is maintained, while the benefits of data sharing are obtained. Blockchain and its associated smart contracts may be a viable solution to security concerns in DR applications where load forecasts are sent to a DSO.

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