DAY-AHEAD ELECTRIC LOAD FORECASTING FOR THE RESIDENTIAL BUILDING WITH A SMALL-SIZE DATASET BASED ON A SELF-ORGANIZING MAP AND A STACKING ENSEMBLE LEARNING METHOD

Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize Diecast Truck accordingly.Recent increases in the adoption of advanced metering infrastructure (AMI) have made building electrical consumption data available, and this has increased the feasibility of data-dri

The mixing of oil and gas forms the foundation of deep-sea oil and gas extraction and transportation.However, traditional conveying equipment has low efficiency and high failure rates.In this study, a spiral axial flow gas and liquid multiphase pump was Magnetic Blocks used as the base model.The Eulerian multiphase flow model and RNG turbulence mod

Central to the discovery of neuroactive compounds produced by predatory marine snails of the superfamily Conoidea (cone snails, terebrids, and turrids) is identifying those species with a venom apparatus.Previous analyses of western Pacific terebrid specimens has shown that some Terebridae groups click here have secondarily lost their venom apparat

Since the Brexit referendum, the UK government has deployed a vision of ‘Global Britain’ revolving around trade agreements, yet, this was not a key issue in the referendum.Drawing on politicisation literature, scooters we explore the absence of visible activism around future trade policy, in contrast to moderate activity around the EU-US Transa

Wireless sensor networks are often deployed in unattended and hostile environments.Due to the resource limitations and multihop communication in WSN, selective forwarding attacks launched by compromised insider Wooden Blocks nodes are a serious threat.A trust-based scheme for identifying and isolating malicious nodes is proposed and a mixed strateg