Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models
Energy Science &Engineering, EarlyView.This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem +3 more
wiley +1 more source
Constructing optical soliton wave structure and modulation instability analysis for coupled fractional Lakshmanan-Porsezian-Daniel equation with Kerr's law nonlinearity. [PDF]
Sci RepAghazadeh A, Lakestani M.
europepmc +1 more source
International Journal for Numerical Methods in Fluids, EarlyView.We introduce new efficient and accurate first order finite volume‐type numerical schemes, for the non‐conservative one‐dimensional blood flow equations with transport, taking into account different velocity profiles. The framework is the flux‐vector splitting approach of Toro and Vázquez‐Cendón (2012), that splits the system in two subsystems of PDEs ...
Alessandra Spilimbergo +3 more
wiley +1 more source
Analysis of inverse problem for pseudo-hyperbolic equation under periodic boundary condition. [PDF]
Sci RepBağlan İ +4 more
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, 1995 The paper is concerned with a class of nonlinear second-order differential equations in a Hilbert space that contains as special cases equations of nonlinear elasticity with nonlinear boundary conditions (in particular, the nonlinear Euler-Bernoulli, and von Karman plate equations).
Favini, Angelo, Lasiecka, Irena
openaire +3 more sources
UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions
Journal of Forecasting, EarlyView.ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley +1 more source
Artificial neural network paradigm of magneto-thermal behavior in tangent hyperbolic hybrid-nanofluid flow. [PDF]
Sci RepAthar T, Qureshi H, Muhammad T.
europepmc +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper studies herding and anti‐herding behaviour in three European stock markets before and during the Covid‐19 pandemic by employing both static and dynamic analysis. We examine four different questions related to herding behaviour: (i) Did herding behaviour increase during the pandemic? (ii) Does herding behaviour respond differently in
Dimitrios Asteriou +3 more
wiley +1 more source
Compatibility of the evolution equation for heat flux in dual-phase-lag and three-phase-lag with the principles of thermodynamics. [PDF]
Sci RepFawzy A, Mahmoud W, Rawy EK, Ghaleb AF.
europepmc +1 more source
Operating Capacity, Pricing and Supply Elasticity in Container Shipping Markets
International Journal of Finance &Economics, EarlyView.ABSTRACT We investigate the channels through which changes in operating capacity influence freight rates in the container shipping market using a novel dataset to create an operating capacity index at the shipping‐route level. Our analysis reveals that when supply elasticity is low, an increase in operating capacity tends to drive freight rates upward,
Cong Sui +3 more
wiley +1 more source