scholarly journals In search for market-based energy efficiency investment in households: smart home solutions as an option for optimized use of energy and reduction of costs for energy

2018 ◽  
Vol 147 ◽  
pp. 1-6 ◽  
Author(s):  
Reinis Aboltins ◽  
Dagnija Blumberga
2019 ◽  
Vol 292 ◽  
pp. 01008
Author(s):  
Veneta Yosifova ◽  
Rosen Petrov ◽  
Milena Haralampieva

The paper observes the newest innovative technologies regarding buildings energy efficiency like passive building and smart home technologies. The market situation in Europe and in Bulgaria for these types of technologies is analyzed. The outcome of the research will serve as a milestone in developing of a methodology for determining Bulgarian society’s awareness and attitude towards their using in home, business and production buildings.


Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1097 ◽  
Author(s):  
Isaac Machorro-Cano ◽  
Giner Alor-Hernández ◽  
Mario Andrés Paredes-Valverde ◽  
Lisbeth Rodríguez-Mazahua ◽  
José Luis Sánchez-Cervantes ◽  
...  

Energy efficiency has aroused great interest in research worldwide, because energy consumption has increased in recent years, especially in the residential sector. The advances in energy conversion, along with new forms of communication, and information technologies have paved the way for what is now known as smart homes. The Internet of Things (IoT) is the convergence of various heterogeneous technologies from different application domains that are used to interconnect things through the Internet, thus allowing for the detection, monitoring, and remote control of multiple devices. Home automation systems (HAS) combined with IoT, big data technologies, and machine learning are alternatives that promise to contribute to greater energy efficiency. This work presents HEMS-IoT, a big data and machine learning-based smart home energy management system for home comfort, safety, and energy saving. We used the J48 machine learning algorithm and Weka API to learn user behaviors and energy consumption patterns and classify houses with respect to energy consumption. Likewise, we relied on RuleML and Apache Mahout to generate energy-saving recommendations based on user preferences to preserve smart home comfort and safety. To validate our system, we present a case study where we monitor a smart home to ensure comfort and safety and reduce energy consumption.


2015 ◽  
Vol 9 (1) ◽  
pp. 249-260 ◽  
Author(s):  
María Rodríguez Fernández ◽  
Adolfo Cortés García ◽  
Ignacio González Alonso ◽  
Eduardo Zalama Casanova

Smart Home is changing the way of today’s living. Technology is taking each and everything on internet, but when it is home than many considerations are there. Security and privacy is the major issue as far as life is considered. As per technical hazards issues could be, interoperability, integration, energy efficiency. These challenges are huge barriers in their applicability. Incredible work has been done to overcome the barriers. But still gaps are there. This paper is providing comprehensive information about available literature on above parameters and existing research gaps in the area. Findings of this paper can lead researchers to have research gaps in the security and privacy issues in smart home.


Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1537 ◽  
Author(s):  
Ringel ◽  
Laidi ◽  
Djenouri

From both global and local perspectives, there are strong reasons to promote energy efficiency. These reasons have prompted leaders in the European Union (EU) and countries of the Middle East and North Africa (MENA) to adopt policies to move their citizenry toward more efficient energy consumption. Energy efficiency policy is typically framed at the national, or transnational level. Policy makers then aim to incentivize microeconomic actors to align their decisions with macroeconomic policy. We suggest another path towards greater energy efficiency: Highlighting individual benefits at microeconomic level. By simulating lighting, heating and cooling operations in a model single-family home equipped with modest automation, we show that individual actors can be led to pursue energy efficiency out of enlightened self-interest. We apply simple-to-use, easily, scalable impact indicators that can be made available to homeowners and serve as intrinsic economic, environmental and social motivators for pursuing energy efficiency. The indicators reveal tangible homeowner benefits realizable under both the market-based pricing structure for energy in Germany and the state-subsidized pricing structure in Algeria. Benefits accrue under both the continental climate regime of Germany and the Mediterranean regime of Algeria, notably in the case that cooling energy needs are considered. Our findings show that smart home technology provides an attractive path for advancing energy efficiency goals. The indicators we assemble can help policy makers both to promote tangible benefits of energy efficiency to individual homeowners, and to identify those investments of public funds that best support individual pursuit of national and transnational energy goals.


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