Results 201 to 210 of about 688,698 (308)
ABSTRACT Increasing electricity demand from data centres, industrial applications, electric vehicles and domestic heating is creating pressure to develop electricity systems in many parts of the world, but especially in Western countries. In response to challenges such as grid congestion, interconnection queues and climate‐related hazards, network ...
Jussi Valta +3 more
wiley +1 more source
EGCN: Entropy-based graph convolutional network for anomalous pattern detection and forecasting in real estate markets. [PDF]
Le D +6 more
europepmc +1 more source
ABSTRACT This study examines how farmers perceive and respond to climate policy risk in the context of drought and argues that understanding such responses is as important as understanding farmer reactions to the biophysical impacts of climate change.
M. Anne Visser +3 more
wiley +1 more source
Research on sentiment index and real estate demand forecasting based on BERT-BiLSTM and ADL-MIDAS models. [PDF]
Chen M, Wang J, Zhao F, Jiang G.
europepmc +1 more source
Letting People in: Redefining Collaboration in Wildland–Urban Interface Governance
ABSTRACT Intensifying wildfire regimes and expanding human settlements into wilderness areas have heightened concerns about the wildland–urban interface (WUI) due to the associated increase in fire risk. However, the WUI presents broader social‐ecological challenges that go beyond wildfire risk and remain understudied.
Clara Mosso +5 more
wiley +1 more source
Bond market opening, monetary policy, and systemic financial risks - An empirical study based on the TVP-SV-VAR model. [PDF]
Ping WY, Hu YW, Luo LQ.
europepmc +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
How to decarbonise general practice with zero capital. [PDF]
Knott J, Stefanski T.
europepmc +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Sectoral sensitivity of the Kuwait stock market to a dual shock. [PDF]
Alotaibi T, Morales L.
europepmc +1 more source

