Commercial buildings incorporate Building Energy Management Systems (BEMS) to monitor indoor environment conditions as well as controlling Heating Ventilation and Air Conditioning (HVAC) systems. Measurements of temperature, humidity and energy consumption are typically stored within BEMS. These measurements include underlying information regarding building thermal response, which is crucial fo...

building pounding occurs between two adjacent buildings with small gap or without sufficient separation distance. it leads to damage buildings during earthquake due to impact. many researchers have investigated building pounding based on impact force reduction and energy dissipation increase, when two buildings collide with each other. in numerical investigations, using specific link element, i...

This study seeks to provide insights on understanding the contemporary problems of energy efficiency in Ukrainian universities by developing a comprehensive energy efficiency management framework that encompasses its participating subjects, objects and key drivers along with suggesting its implementation mechanism and tools. Emphasis should be given that the current situation of inefficient and...

for over the past several decades, there has been a great concern about energy crisis and lackof non-renewable resources. residential buildings take more than 25% of the total energy consumption and morethan 75% of energy consumption in these buildings is for heating, cooling and hot sanitary water. on the other hand,traditional buildings of iran were designed according to ecological conditions...

The adoption rate of building energy standards in the US has been increasing since the mid1990s as a result of the Energy Policy Act of 1992 (EPAct). However, most of the evidence on the energy savings that accrue from commercial building energy standards is based on engineering simulations, which do not account for realized behavior once a standard is actually adopted. This paper uses plausibl...

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In the wake of rising energy costs, there is a critical need for sustainable energy management of commercial and residential buildings. Buildings consume approximately 40% of total energy consumed in the US, and current methods to reduce this level of consumption include energy monitoring, smart sensing, and advanced integrated building control. However, the building industry has been slow to r...

In this work, hourly and daily energy consumption prediction has been carried out using multi-layer feed forward neural network. The network designed in the proposed architecture three layers, namely input layer, hidden output layer. layer had eight neurons, one neuron, number of neurons was varied to find an optimal for accurate prediction. Different parameters were repeatedly, accuracy observ...

High electricity demand peaks and uncertain supply from renewable energy sources have a significant impact on the electricity price and the network capacity. One mechanism proposed to tackle this issue is the use of real-time pricing (RTP) at the end customer level. Here electricity retail prices are set in real-time in response to varying supply-demand conditions in a way that reduces peak dem...