In this paper an Intelligent Energy Management System based on fuzzy logic is proposed. The objective of the proposed strategy is to optimize the cost saving for the end consumer by determining the share of the power drawn from the grid or the Energy Storage Unit for each hour of the day, because the price of the energy varies each hour depending on the demand and is determined a day before. Th...

a field study was undertaken with four farming systems (fs) such as; grasses and fodders, agro-forestry, agriculture (new farming systems) and shifting cultivation (old practice), to investigate the effect of land use on the soil properties, erosion and crop productivity on a loamy acidic alfisol. besides crops, the livestock were also kept and their dropping were incorporated in the respective...

BACKGROUND Depression is characterized by cognitive impairments, including executive dysfunctions. These executive deficits could reflect impairments of more basic executive processes, such as updating, set shifting and inhibition. While shifting and inhibition impairments are often reported, studies on depression have been somewhat obscure about specific deficits of the updating process. The m...

Introducing carbon trading is an essential way to decarbonize the power system. Many existing studies mainly consider source-side unilateral (UCT). However, there are still rare considering source-load bilateral (BCT). The effect of BCT on system-wide mitigation worth studying. To fill this research gap, a hierarchical low-carbon economic-dispatch model with based Aumann–Shapley method was prop...

The multi-energy system is a promising energy-efficient technology to supply electric and thermal energy end-users simultaneously, which can realize the cascade utilization. However, it challenging optimize operation of systems due their inherent structural complexity, as well highly coupled nature multiple flows uncertainty renewable generation. This paper proposed collaborative demand-control...

Thermostatically controlled loads (TCLs), such as air conditioners (ACs), are important demand response resources—they have a certain heat storage capacity. A change in the operating status of an air conditioner in a small range will not noticeably affect the users’ comfort level. Load control of TCLs is considered to be equivalent to a power plant of the same capacity in effect, and it can sig...

This paper introduces an optimal sizing algorithm for a hybrid renewable energy system using smart grid load management application based on the available generation. This algorithm aims to maximize the system energy production and meet the load demand with minimum cost and highest reliability. This system is formed by photovoltaic array, wind turbines, storage batteries, and diesel generator a...

The growing concern about global climatic changes and fossil fuel depletion calls for a shift from conventional modes of transportation to electric vehicles (EV). The idea of bidirectional interaction between grid and Electric vehicle has brought the V2G ,V2H etc. technologies . Bidirectional chargers adds the benefit of EVs by enabling energy transfer from vehicle to grid (V2G) or vehicle to h...

In this paper, a demand side management control (DSM) acting on the load profile for an isolated hybrid photovoltaic/diesel/battery system for residential application was investigated. This control is a new strategy that compensates the global power flow of a distributed generation system. In fact, using the DSM strategy, the renewable energy can be used effectively to satisfy the demand and re...

The smart grid is a future power network capable of making the power system more intelligent taking advantage of sophisticated information technologies and two-way communication. The information technology allows efficient demand side management which reshapes the power consumption by scheduling the operation of electric devices and equipments in smart homes, buildings, farms, and the like. The...