Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources
In this paper, we comparatively evaluate the performance of home energy management
controller which is designed on the basis of heuristic algorithms; genetic algorithm (GA) …
controller which is designed on the basis of heuristic algorithms; genetic algorithm (GA) …
Towards dynamic coordination among home appliances using multi-objective energy optimization for demand side management in smart buildings
In this paper, we propose a home energy management system that employs load shifting
strategy of demand side management to optimize the energy consumption patterns of a …
strategy of demand side management to optimize the energy consumption patterns of a …
Blockchain based data and energy trading in internet of electric vehicles
The drastic increase in real-time vehicle generated data of various types has imparted a
great concept of data trading in vehicular networks. Whereas immense usage of Electric …
great concept of data trading in vehicular networks. Whereas immense usage of Electric …
Fuzzy energy management controller and scheduler for smart homes
The integration of information and communication technologies in traditional grid brings
about a smart grid. Energy management plays a vital role in maintaining the sustainability …
about a smart grid. Energy management plays a vital role in maintaining the sustainability …
Deep long short-term memory: A new price and load forecasting scheme for big data in smart cities
This paper focuses on analytics of an extremely large dataset of smart grid electricity price
and load, which is difficult to process with conventional computational models. These data …
and load, which is difficult to process with conventional computational models. These data …
Short-term load forecasting in smart grids: An intelligent modular approach
Daily operations and planning in a smart grid require a day-ahead load forecasting of its
customers. The accuracy of day-ahead load-forecasting models has a significant impact on …
customers. The accuracy of day-ahead load-forecasting models has a significant impact on …
A smart home energy management approach incorporating an enhanced northern goshawk optimizer to enhance user comfort, minimize costs, and promote efficient …
Hydrogen plays a crucial role in the quest for sustainable and clean energy solutions, and its
effect on smart home energy management is of particular interest. With the rapid …
effect on smart home energy management is of particular interest. With the rapid …
Hybrid meta-heuristic optimization based home energy management system in smart grid
The emergence of the smart grid has empowered the consumers to manage the home
energy in an efficient and effective manner. In this regard, home energy management (HEM) …
energy in an efficient and effective manner. In this regard, home energy management (HEM) …
Towards sustainable energy efficiency with intelligent electricity theft detection in smart grids emphasising enhanced neural networks
In smart grids, electricity theft is the most significant challenge. It cannot be identified easily
since existing methods are dependent on specific devices. Also, the methods lack in …
since existing methods are dependent on specific devices. Also, the methods lack in …
ESAENARX and DE-RELM: Novel schemes for big data predictive analytics of electricity load and price
Accurate forecasting of the electricity price and load is an essential and challenging task in
smart grids. Since electricity load and price have a strong correlation, the forecast accuracy …
smart grids. Since electricity load and price have a strong correlation, the forecast accuracy …