A Systematic Review of the Smart Home Literature: A user perspective

Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future

Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array

The increasing demand for electricity and the emergence of smart grids have presented new opportunities for a home energy management system (HEMS) that can reduce energy usage. The HEMS incorporates a demand response (DR) tool that shifts and curtails demand to improve home energy consumption. This system commonly creates optimal consumption schedules by considering several factors, such as energy costs, environmental concerns, load profiles, and consumer comfort. With the deployment of smart meters, performing load control using the HEMS with DR-enabled appliances has become possible. This paper provides a comprehensive review on previous and current research related to the HEMS by considering various DR programs, smart technologies, and load scheduling controllers. The application of artificial intelligence for load scheduling controllers, such as artificial neural network, fuzzy logic, and adaptive neural fuzzy inference system, is also reviewed. Heuristic optimization techniques, which are widely used for optimal scheduling of various electrical devices in a smart home, are also discussed.

Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers

Indoor air pollution (IAP) is a serious threat to human health, causing millions of deaths each year. A plethora of pollutants can result in IAP; therefore, it is very important to identify their main sources and concentrations and to devise strategies for the control and enhancement of indoor air quality (IAQ). Herein, we provide a critical review and evaluation of the major sources of major pollutant emissions, their health effects, and issues related to IAP-based illnesses, including sick building syndrome (SBS) and building-related illness (BRI). In addition, the strategies and approaches for control and reduction of pollutant concentrations are pointed out, and the recent trends in efforts to resolve and improve IAQ, with their respective advantages and potentials, are summarized. It is predicted that the development of novel materials for sensors, IAQ-monitoring systems, and smart homes is a promising strategy for control and enhancement of IAQ in the future.

Indoor Air Pollution, Related Human Diseases, and Recent Trends in the Control and Improvement of Indoor Air Quality.

With the arrival of smart grid era and the advent of advanced communication and information infrastructures, bidirectional communication, advanced metering infrastructure, energy storage systems and home area networks would revolutionize the patterns of electricity usage and energy conservation at the consumption premises. Coupled with the emergence of vehicle-to-grid technologies and massive distributed renewable energy, there is a profound transition for the energy management pattern from the conventional centralized infrastructure towards the autonomous responsive demand and cyber-physical energy systems with renewable and stored energy sources. Under the sustainable smart grid paradigm, the smart house with its home energy management system (HEMS) plays an important role to improve the efficiency, economics, reliability, and energy conservation for distribution systems. In this paper, a brief overview on the architecture and functional modules of smart HEMS is presented. Then, the advanced HEMS infrastructures and home appliances in smart houses are thoroughly analyzed and reviewed. Furthermore, the utilization of various building renewable energy resources in HEMS, including solar, wind, biomass and geothermal energies, is surveyed. Lastly, various home appliance scheduling strategies to reduce the residential electricity cost and improve the energy efficiency from power generation utilities are also investigated.

Smart home energy management systems: Concept, configurations, and scheduling strategies

The utility model belongs to the technical field of the intelligent control technique and specifically relates to an intelligence switch circuit with load electric quantity that charges is full of back intelligence disconnection function is related to, acquire module, on -off control module and time delay judge module including power module, electric current. The electric current acquires the module can acquire the real -time electric current that flows through the load that charges, the time delay judge module can produce after the load that charges is in standby state and postpone, prevents the switch malfunction, the gap is full of the load that charges of state in the electric quantity switch can be controlled to the on -off control module. The utility model discloses a detection flow through charge the load current judgment charge the load operating condition to realize the intelligent control of switch, thereby effectively saved the electric energy source, be favorable to the environmental protection.

Intelligence switch circuit with load electric quantity that charges is full of back intelligence disconnection function

The invention belongs to the intelligent control technical field and relates to an intelligent switch circuit capable of disconnecting a fully-charged charging load. The intelligent switch circuit includes a power source module, a current acquisition module, a switch control module and a time delay judging module; the current acquisition module can acquire real-time current flowing through the charging load; the time delay judging module can generate delay after the charging load is in a standby state, so that the malfunction of a switch can be prevented; and the switch control module can control the switch which can disconnect the charging load in a fully-charged state. According to the intelligent switch circuit of the invention, the work state of the charging load can be judged through detecting the current flowing through the charging load, so that intelligent control on the switch can be realized, and therefore, electric energy can be effectively saved, and environment protection can be benefitted.

Li Wentao

Papers

Smart home energy management systems: Concept, configurations, and scheduling strategies

Intelligence switch circuit with load electric quantity that charges is full of back intelligence disconnection function

Intelligent switch circuit capable of disconnecting fully-charged charging load