Results 61 to 70 of about 15,084 (215)

Ambiguity‐Aware Receding‐Horizon Optimization of Wind‐Hybrid Energy Storage Systems Using Type‐3 Fuzzy Modeling for Multimarket Participation

open access: yesEnergy Science &Engineering, EarlyView.
A Type‐3 fuzzy ambiguity encoder converts rolling wind, price, reserve‐activation, and confidence features into central estimates and nested uncertainty bounds. These parameters are updated within a receding‐horizon MILP/MIQP that coordinates wind, battery, and supercapacitor capacity across day‐ahead and ancillary‐service markets.
Shurong Yan   +5 more
wiley   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park   +5 more
wiley   +1 more source

Transforming Agricultural Water Management Through the Water–Energy–Food Nexus: Trends, Opportunities, Barriers and Solutions

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Agricultural water management (AWM) is increasingly transitioning towards transformative thinking, where interconnected sectors, including water, energy and food, are managed holistically. Trends point towards cross‐sectoral and harmonised strategies to optimise water use efficiency and productivity, integrate renewable energy, promote ...
Luxon Nhamo   +5 more
wiley   +1 more source

Transforming Agricultural Water Management for Healthy People and Planet: Thinking Beyond Water

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This paper develops the concept of Thinking Beyond Water, a transdisciplinary paradigm that reframes agricultural water management (AWM) as a systems catalyst for planetary health, equity, justice and resilience. Moving beyond conventional irrigation‐centric models, we reimagine AWM through integrative frameworks such as the planetary ...
Tafadzwanashe Mabhaudhi   +6 more
wiley   +1 more source

Mapping the Influence of Ansoff's Corporate Strategy

open access: yesStrategic Change, EarlyView.
ABSTRACT This paper conducts a systematic, data‐driven analysis of H. Igor Ansoff's enduring impact on strategic management scholarship. Despite Ansoff's recognition as the “father of strategic management” and the continued relevance of his frameworks—including the Ansoff matrix, weak signals analysis, and strategic thrust—a comprehensive understanding
Ivan Zupic   +3 more
wiley   +1 more source

Revisiting the Intellectual Legacy of H. Igor Ansoff: A Critical Analysis of His Contributions and Their Impact on the Evolution of Strategic Management

open access: yesStrategic Change, EarlyView.
ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega   +4 more
wiley   +1 more source

Avoiding “Failure of Foresight” or Tunnel Vision Requires a Multi‐Paradigmatic Strategic Decision‐Making Approach

open access: yesStrategic Change, EarlyView.
ABSTRACT This paper considers the tensions between different organizational strategic decision‐making approaches at various levels of uncertainty. Of particular focus are the mechanisms for defaulting to lower uncertainty, from the Cynefin framework's unordered chaotic and complex domains to the more ordered complicated and obvious domains.
Richard J. Logan   +3 more
wiley   +1 more source

Analysis of plant science higher education reveals mixed provision which falls short of delivering national priorities

open access: yesJSFA reports, Volume 5, Issue 3, Page 78-90, March 2025.
Abstract Background Many reports from the UK government and other organisations highlight a need for a plant aware workforce, and some enumerate specific areas of plant science where there is a skills shortage. We have undertaken a systematic analysis of the content of degree programmes that advertise as teaching plant biology to determine if the UK ...
Sarah Trinder   +7 more
wiley   +1 more source

Machine Learning‐Based Risk Stratification Tool for Hearing Loss in High‐Risk Neonates

open access: yesThe Laryngoscope, EarlyView.
Machine learning models, particularly XGBoost, provide robust risk stratification for neonatal hearing loss by capturing complex interactions among clinical risk factors such as NICU stay duration and family history. To translate these predictive capabilities into routine practice, an open‐access web‐based clinical decision support tool was developed ...
Sevgi Kutlu   +4 more
wiley   +1 more source

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