Results 41 to 50 of about 70,145 (217)

Accounting for Substitution: Improving Estimates of GHG Reductions From Cattle‐Based Product Demand Shifts

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Estimates of reductions in greenhouse gas (GHG) emissions from lower demand for cattle‐based products must account for substitution effects. This study collected data through two surveys—one on ground beef and another on dairy milk—to evaluate substitution effects and potential GHG reductions.
Brandon R. McFadden, Sara Gardner Hedgecock, Lawton L. Nalley, Alvaro Durand‐Morat, Aaron Shew, Rodolfo M. Nayga Jr   +5 more
wiley   +1 more source

A Novel Convolutional Long Short-Term Memory Approach for Anomaly Detection in Power Monitoring System

Energies
With the rapid advancement of artificial intelligence, machine learning and big data analytics have become essential tools for enhancing the cybersecurity of power monitoring systems. This study proposes a network traffic anomaly detection model based on
Hao Zhang, Jing Wang, Xuanyuan Wang, Xinyi Feng, Hongda Gao, Yingchun Niu   +5 more
doaj   +1 more source

Parameter coordination optimization of power system stabilizer based on similarity index of power system state-BP neural network

Energy Reports, 2023
Power system stabilizer (PSS) is widely used to improve power system stability. The current parameter coordination optimization method is easy to fall into the local optimization, to solve the problem and find the optimal parameter combination of PSS ...
Yude Yang, Zheng Li, Anjun Song, Lizhen Yang, Xiu Zhang, Jingru Long, Yijun Wang, Puhan Xu   +7 more
doaj   +1 more source

Do Tax Incentives for Farmland Leases Increase Farm Supply? Evidence From Iowa's Beginning Farmer Tax Credit

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross, Wesley M. Zebrowski, Julia C. D. Valliant   +2 more
wiley   +1 more source

Deep learning for day-ahead electricity price forecasting

IET Smart Grid, 2020
Deregulation exposes the inherent volatility of the electricity price. Accurate electricity price forecasting (EPF) could help the market participants to hedge against the price movements and maximise their profits.
Chi Zhang, Ran Li, Ran Li, Heng Shi, Furong Li   +4 more
doaj   +1 more source

Mixed supply function‐Cournot equilibrium model of futures and day‐ahead electricity markets

IET Generation, Transmission & Distribution, 2021
Futures contract is one of the useful financial derivatives for hedging the market players against the risks of undesirable price fluctuations in the power systems.
Mohsen Banaei, Majid Oloomi‐buygi, Hani Raouf‐Sheybani, Mohammad‐Hassan Khooban   +3 more
doaj   +1 more source

Coping With Production Risk: Effects of Sown Plant Diversity on the Attractiveness of Crop Insurance in Grasslands

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Increased frequency of extreme weather events, particularly droughts, threatens grassland farming by destabilizing yields and farms' economic viability. We examine, theoretically and through numerical simulations, how sown plant diversity (natural insurance) influences the attractiveness of indemnity and drought index insurance (formal ...
Nicolas Alou, Sergei Schaub, Martin Quaas, Robert Finger   +3 more
wiley   +1 more source

Resilient planning for high‐renewable‐integrated transmission systems under the impacts of ice storm disasters

IET Renewable Power Generation
Ice storm disasters pose great challenges to the safe and stable operation of transmission systems, especially in high‐renewable‐integration scenarios. However, as one of the major types of natural disasters that can have severe consequences, ice storm ...
Tao Niu, Qianqian Huang, Sidun Fang, Guanhong Chen, Ruijin Liao   +4 more
doaj   +1 more source

Self-Adaptive Artificial Bee Colony for Function Optimization

Journal of Control Science and Engineering, 2017
Artificial bee colony (ABC) is a novel population-based optimization method, having the advantage of less control parameters, being easy to implement, and having strong global optimization ability.
Mingzhu Tang, Wen Long, Huawei Wu, Kang Zhang, Yuri A. W. Shardt   +4 more
doaj   +1 more source

Development of an SVR Model for the Fault Diagnosis of Large-Scale Doubly-Fed Wind Turbines Using SCADA Data

Energies, 2019
Fault diagnosis and forecasting contribute significantly to the reduction of operating and maintenance associated costs, as well as to improve the resilience of wind turbine systems.
Mingzhu Tang, Wei Chen, Qi Zhao, Huawei Wu, Wen Long, Bin Huang, Lida Liao, Kang Zhang   +7 more
doaj   +1 more source