Results 71 to 80 of about 654 (182)

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage

Remote Sensing in Ecology and Conservation, Volume 12, Issue 1, Page 21-37, February 2026.
Visualization of the pipeline is divided into two primary segments: automated (i.e., the user adapts the code directly to build a custom computer vision model) and human‐in‐the‐loop (i.e., the user manually evaluates the output of the model). In step 1, raw imagery data are selected for training and testing datasets; ideally, these datasets are ...
Lindsay Veazey, Christopher Latty, Zoey Chapman, Tuula E. Hollmen   +3 more
wiley   +1 more source

Energy Consumption Prediction and Optimization of Electric Vehicles Based on RLS and Improved SOA

IEEE Access
The new energy vehicle industry is facing new challenges. To predict and optimize the energy consumption of electric vehicles, this study predicts energy consumption based on the energy consumption characteristics of the electric vehicle power system and
Chunling Liu
doaj   +1 more source

The Secret Life of Tidal Marshes and Mangroves: Camera Trapping as a Window Into Wildlife Using North American Coastal Wetlands

Ecology and Evolution, Volume 16, Issue 1, January 2026.
We conducted the first coordinated assessment of terrestrial wildlife across North America's vegetated coastal wetlands. Our study demonstrates the significant role coastal wetlands play in wildlife support, offers a model for broad‐scale wildlife studies, and highlights the importance of incorporating top‐down perspectives and a landscape approach ...
Kenneth B. Raposa, Kimberly Cressman, Danika vanProosdij, Jason Goldstein, Rachel A. Stevens, Megan Tyrrell, Brian DeGasperis, Kari St. Laurent, R. Kyle Derby, Scott Lerberg, Elizabeth Fox Pinnix, Jennifer Plunkett, Jessica Kinsella, Colby Peffer, Candace Killian, Jay Black, Katie Swanson, Christopher Biggs, Emily Kuzmick, Angel Dieppa‐Ayala, Kristin Wilson Grimes, Allie Durdall, Jacob Argueta, Thomas Reid, Roger Fuller, Jennifer Schmitt, Matthew C. Ferner, Mônica Almeida, Héctor Manuel Sánchez Márquez, Yoshimi M. Rii, A. Nālani Olguin, Maureen Dewire, Kerstin Wasson   +32 more
wiley   +1 more source

AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions

Energy Science &Engineering, Volume 14, Issue 1, Page 583-610, January 2026.
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid, Hafiz Mudassir Munir, Mohammad Adeel, Fares Suliaman Alromithy, Mohammad R. Altimania, Ievgen Zaitsev   +5 more
wiley   +1 more source

Developing a Quadratic Interpolation Northern Goshawk Optimiser and Its Application for Solving Electrical Engineering Problems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
We propose an enhanced metaheuristic algorithm, quadratic interpolation northern goshawk optimisation (QINGO), that integrates the generalised quadratic interpolation method into the northern goshawk optimisation framework. The proposed algorithm shows superior convergence, stability, and accuracy compared with several existing methods on standard ...
Ahmed H. A. Adam, Salah Kamel, Mohamed H. Hassan   +2 more
wiley   +1 more source

A Hybrid Dynamic Sand Cat Swarm Optimisation (HD‐SCSO) Approach for Resource Allocation in Wireless Sensor Networks

IET Wireless Sensor Systems, Volume 16, Issue 1, January/December 2026.
The hybrid dynamic sand cat swarm optimisation (HD‐SCSO) approach introduces a bioinspired method to enhance energy efficiency, data transmission and resource fairness in WSNs. Through adaptive clustering, intelligent node selection and real‐time adjustments, HD‐SCSO ensures optimised performance, extended network lifetime and seamless IoT integration,
Samer Sindian, Ziad Osman, Abdallah AL‐Sabbagh   +2 more
wiley   +1 more source

EEDCTS: An Effective End‐Device Constraints–Based Task‐Scheduling Mechanism in Cloud Computing by Deep Deterministic Policy Gradient Algorithm

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Scheduling is an important aspect in cloud computing paradigm as different heterogeneous devices will send tasks to the cloud platform. All these different devices that generate tasks are not of the same type in terms of power backup, computational capacity, link failures, etc.
Sudheer Mangalampalli, Ganesh Reddy Karri, Kaushik Mishra, Santosh Kumar Majhi, Pramita Mishra   +4 more
wiley   +1 more source

CO2–N2 Mixture Viscosity Modelling Using Machine Learning: Towards Sustainable Carbon Capture and Energy Efficiency

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Accurate determination of the viscosity of carbon dioxide (CO2) mixed with nitrogen (N2) is vital for enhanced oil recovery (EOR) and carbon capture, utilisation and storage (CCUS/CCS). The determination of this important thermophysical property is usually through costly and time‐consuming experiments, which is not ideal for field recovery planning and
Mohamed Abdullatif Enbaya Alwerfali, Foad Faraji, Mardin Abdalqadir, Jagar A. Ali, Fatemeh Boshagh   +4 more
wiley   +1 more source

Three‐Level NF‐TDN Controller for AGC in Thermal‐Hydro‐Gas Power Systems Integrated With TCPS Under Nonlinear Conditions

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Automatic generation control (AGC) is vital for preserving frequency and power balance in modern interconnected power systems (IPSs), which are increasingly challenged by nonlinear dynamics, parameter uncertainties, and unpredictable load variations.
Getaneh Mesfin Meseret, Mohammad Ghiasi
wiley   +1 more source