Results 251 to 260 of about 129,146 (344)

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, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Empirical Study on Fluctuation Theorem for Volatility Cascade Processes in Stock Markets. [PDF]

Entropy (Basel)
Maskawa JI.
europepmc   +1 more source

Analysis of Energy Consumption, Economic Efficiency and Carbon Emissions of Ice Slurry Direct Supply System: A Case Study of China

Energy Science &Engineering, EarlyView.
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley   +1 more source

Revisiting the excess volatility puzzle through the lens of the Chiarella model. [PDF]

PLoS One
Kurth JG, Majewski AA, Bouchaud JP.
europepmc   +1 more source

Pricing and Hedging in Stochastic Volatility Regime Switching Models

, 2013
Stéphane Goutte
openalex   +2 more sources

Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm

Energy Science &Engineering, EarlyView.
This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley   +1 more source

Distribution Approach to Local Volatility for European Options in the Merton Model with Stochastic Interest Rates. [PDF]

Entropy (Basel)
Nowak P, Gatarek D.
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Analytic solutions of variance swaps for Heston models with stochastic long-run mean of variance and jumps. [PDF]

PLoS One
Fu J.
europepmc   +1 more source

On Stochastic Volatility Models as an Alternative to GARCH Type Models

, 2016
Oscar Nilsson
openalex   +1 more source