Dr. Zhiwei Shen

Profil

Zusammenfassung

Dr. Zhiwei Shen entwickelt Methoden zur Bewältigung von Datenknappheit und Unsicherheit in Versicherungs- und Energiesystemen. Seine Expertise liegt in der Kombination von räumlichen Daten, statistischen Modellen und künstlicher Intelligenz, um Risiken in der Landwirtschaftsversicherung und bei erneuerbaren Energien zu bewerten und zu prognostizieren. Er arbeitet an praktischen Lösungen für die Digitalisierung von Stromnetzen und die Quantifizierung von Wetter- und Ertragsvariabilität.

Skills

Name

Dr. Zhiwei Shen

Titel

Dr.

Fakultät

Lebenswissenschaftliche Fakultät

Institut

Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften

Arbeitsgruppe

Quantitative Agrarökonomik insbesondere angewandte Ökonometrie (J)

E-Mail

🔒 nur für eingeloggte sichtbarAnmelden

Telefon

🔒 nur für eingeloggte sichtbarAnmelden

HU-FIS-Profil

Quelle ↗

Zuletzt gescrapt

29.6.2026, 01:14:41

• Die Minderung der Datenknappheit bei der Bewertung von Ernteversicherungen anhand räumlicher Informationen: Ein Propagation-Separations-Ansatz

  Quelle ↗

  Förderer: DFG Eigene Stelle (Sachbeihilfe) Zeitraum: 08/2017 - 10/2018 Projektleitung: Dr. Zhiwei Shen

🔒 Das System hat 277 mögliche Industrie-Partner gefunden — Firmen, Scores und Begründungen sind nur für eingeloggte Nutzer:innen sichtbar. Anmelden

• Challenges and Mitigation Measures in Power Systems with High Share of Renewables—The Australian Experience

  2022

  Energies · 92 Zitationen · DOI

  Australia is one of the leading countries in energy transition, and its largest power system is intended to securely operate with up to 75% of variable renewable generation by 2025. High-inertia synchronous condensers, battery energy storage systems, and grid-forming converters are some of the technologies supporting this transformation while facilitating the secure operation of the grid. Synchronous condensers have enabled 2500 MW of solar and wind generation in the state of South Australia, reaching minimum operational demands of ≈100 MW. Grid-scale battery energy storage systems have demonstrated not only market benefits by cutting costs to consumers but also essential grid services during contingencies. Fast frequency response, synthetic inertia, and high fault currents are some of the grid-supporting capabilities provided by new developments that strengthen the grid while facilitating the integration of new renewable energy hubs. This manuscript provides a comprehensive overview, based on the Australian experience, of how power systems are overcoming expected challenges while continuing to integrate secure, low cost, and clean energy.

• Forecasting volatility of wind power production

  2016

  Applied Energy · 65 Zitationen · DOI

• Challenges of insuring weather risk in agriculture

  2014

  Agricultural Finance Review · 64 Zitationen · DOI

  Purpose – The purpose of this paper is to review some challenges of insuring weather risk in agriculture and to discuss potential remedies for these problems. Design/methodology/approach – The paper is developed as a narrative on weather insurance based largely on existing literature. Findings – Weather risks show characteristics that often violate classical requirements for insurability. First, some weather risks, particularly slowly emerging weather perils like drought, are spatially correlated and cause systemic risks. Second, climatic change may increase the volatility of weather variables and lead to non-stationary loss distributions, which causes difficulties in actuarial ratemaking. Third, limited availability of yield and weather data hinders the estimation of reliable loss distributions. Practical implications – Some of the approaches discussed in this review, such as time diversification, local test procedures and the augmentation of observational data by expert knowledge, can be useful for crop insurance companies to improve their risk management and product design. Originality/value – This study provides background and development information regarding weather insurance and also presents statistical tools and actuarial methods that support the assessment of weather risks as well as the design of weather and yield insurance products.

Aus HU-FIS sind keine Kooperationen für diese Person gemeldet.