Results 171 to 180 of about 48,322 (300)

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

open access: yesEnergy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali   +5 more
wiley   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

open access: yesEnergy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

From hydrogels to eutectogels: Emerging platforms for stretchable electronics

open access: yesFlexMat, EarlyView.
The transition of wearable electronics toward long‐term reliability requires materials that resist dehydration without sacrificing tissue‐like softness and ionic conductivity. Eutectogels fulfill these demands by immobilizing deep eutectic solvents within tailored polymer networks.
Chang Zhou   +14 more
wiley   +1 more source

Biofilms on porous building materials: friend or foe? [PDF]

open access: yes, 2002
Bowen, David Gordon   +5 more
core  

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das   +2 more
wiley   +1 more source

Leveraging Machine Learning to Predict Food Waste Quantity: Focusing on Military Dining Facilities as Large‐Scale Food Service Operations

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Food waste reveals inefficiencies in resource use and contributes significantly to environmental pollution. In the United States, food waste accounts for the majority of total waste, with more than 50 million tons generated annually. In military units that operate large‐scale institutional food‐service facilities and generate significant food ...
YongSun Kim, Hyun Shik Yoon
wiley   +1 more source

Chemical weathering of molecular single crystals to monoliths of quantum dots. [PDF]

open access: yesNat Commun
Borkenhagen A   +6 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy