Marc-Oliver Otto

Dean

Technische Hochschule Ulm

Germany

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About

Marc-Oliver Otto is the Dean at Technische Hochschule Ulm in Germany. His research focuses on advanced methods in energy consumption and renewable energy systems, evidenced by his recent work on electricity consumption benchmarking, solar PV generation forecasting, and machine learning applications in energy analysis. He has contributed significantly to understanding the impacts of environmental factors on energy systems, including the assessment of CO2 concentration trends during the COVID-19 pandemic.

Articles (9)

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2025

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2025

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2023

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (3)

Jung-Sup Um

SOUTH KOREA

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Stephan Schlüter

Professor

Technische Hochschule Ulm

GERMANY

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Dongjun Suh

Kyungpook National University

SOUTH KOREA

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Marc-Oliver Otto

Research Interests

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Articles (9)

Data-driven approach for electricity consumption benchmarking of multi residential buildings

Integrated Spatiotemporal Hybrid Solar PV Generation Forecast Between Countries on Different Continents Using Transfer Learning Method

Boosted Stacking Ensemble Machine Learning Method for Wafer Map Pattern Classification

Assessment of the Shadow Auction Mechanism as a Fallback Procedure for Single Day-Ahead Coupling

Comparative Evaluation of Top-Down GOSAT XCO2 vs. Bottom-Up National Reports in the European Countries

No evidence for global decrease in CO2 concentration during the first wave of COVID-19 pandemic

Multi-Objective Particle Swarm Optimization-Based Decision Support Model for Integrating Renewable Energy Systems in a Korean Campus Building

A Novel Hybrid Spatio-Temporal Forecasting of Multisite Solar Photovoltaic Generation

Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach

Collaborators (3)

Jung-Sup Um

Stephan Schlüter

Dongjun Suh

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