Building carbon emission prediction plays an irreplaceable role in low-carbon economy development, public health protection and environmental sustainability. It is significant to identify influential factors mainly contributed building predict accurately order harness the growth from source. In this paper, 11 influencing of are identified a support vector regression (SVR) model proposed forecast considering improvement accuracy, generalization, robustness. SVR model, parameters optimized by...

The Combined Cooling, Heating and Power(CCHP)system for building can effectively increase energy efficiency reduce carbon dioxide emission, the CCHP system optimal operation strategy has got attention in recently years. A great number of optimization models have been presented to study taking minimization operational cost emission as target. However, fewer studies conducted optimize with regulatory policies. nonlinear programming model is formulated decisions based on considering varying...

The combined cooling, heating, and power (CCHP) system, which is a sustainable distributed energy has attracted increasing attention due to the associated economic, environmental, benefits. Currently, enforcement of carbon emission regulations become an increasingly concerning issue globally. In this paper, multi-objective optimization model established evaluate CCHP system under two different regulation policies in terms economic benefit, environmental sustainability, advantage. A nonlinear...

Electric vehicles (EVs) have obtained increasing public interest due to the associated economic and environmental benefits. Recently, studies regarding advantages of adopting EVs as energy storages for commercial/residential buildings are emerging. In fact, according U.S. Energy Information Administration, industrial sector consumes more than all other sectors combined, which is about 54% world’s total delivered energy. The consumption pattern in manufacturing facilities based on production...

Building energy consumption prediction is of great significance to realize intelligent decision-making system and improve efficiency.A random forest (RF) model optimized via the particle swarm optimization (PSO) algorithm established forecast hourly electricity building cluster consisting interconnected multiple buildings.The accuracy, generalization robustness are taken as evaluation indexes.In case study, located in Austin adopted an example explore predicted performance proposed PSO-RF...

Microgrids allow energy exchange among multiple interconnected microgrids for greater efficiency and collective economic interest. However, in some cases, the benefit of within network may not be uncertain. In view increasing development electric vehicles (EVs), a multiobjective model is proposed to improve performance by integrating vehicles-to-grid (V2G) vehicles-to-building (V2B) based on global individual balance. Two reference models are built verify validity method, formulated as mixed...

Moral hazard have a non-negligible impact on supply chain sustainability, especially from long-term perspective. This influence is more complicated in dual-channel with free riding. Therefore, it necessary to explore how manufacturers design multi-period incentive strategies deal moral problems retailers. In this study, we built game theory model that contains retailer (she) who delegated by manufacturer (he) sell products her offline and online channels provide experience services physical...

This paper constructed a dual channel supply chain including online and offline channels. We investigated the manufacturer's incentive strategies when dealing with moral hazard from retailer, considering store can free ride experience services of store, consumers pay different attention to services. compared decisions retailer manufacturer information is asymmetric symmetric (moral exists). It found that in presence hazard, get positive service compensation lower wholesale price if high...