Aspassia Daskalopulu

Associate Professor

University of Thessaly

Greece

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About

Aspassia Daskalopulu is an Associate Professor at the University of Thessaly, Greece. Her research areas include load forecasting in microgrids, electricity price forecasting using deep learning techniques, and energy trading models in electric vehicle networks. She has recently published articles focusing on advanced forecasting techniques and innovative algorithms for energy distribution networks.

Articles (17)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (5)

Lefteri Tsoukalas

Professor

Purdue University

UNITED STATES

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ELPINIKI PAPAGEORGIOU

Associate Professor

GREECE

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Dimitrios Bargiotas

Professor

University of Thessaly

GREECE

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Georgios Vontzos

University of Thessaly

GREECE

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Alex Chroneos

Coventry University

UNITED KINGDOM

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Aspassia Daskalopulu

Research Interests

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Articles (17)

Microgrid Multivariate Load Forecasting Based on Weighted Visibility Graph: A Regional Airport Case Study

Data-Driven Techniques for Short-Term Electricity Price Forecasting through Novel Deep Learning Approaches with Attention Mechanisms

Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation

An Auction Pricing Model for Energy Trading in Electric Vehicle Networks

Kinetics of Ions in Post-Lithium Batteries

An Improved Human-Inspired Algorithm for Distribution Network Stochastic Reconfiguration Using a Multi-Objective Intelligent Framework and Unscented Transformation

Enhanced Automated Deep Learning Application for Short-Term Load Forecasting

Kinetics of Ions in Post-Lithium Batteries

An Improved Human-Inspired Algorithm for Distribution Network Stochastic Reconfiguration Using a Multi-Objective Intelligent Framework and Unscented Transformation

An Improved Human-Inspired Algorithm for Distribution Network Stochastic Reconfiguration Considering Multi-Objective Intelligent Framework and Unscented Transformation

An Auction Pricing Model for Energy Trading in Electric Vehicle Networks

Double Auction Offloading for Energy and Cost Efficient Wireless Networks

Seventy-Five Years since the Point-Contact Transistor: Germanium Revisited

Seventy-Five Years since the Point-Contact Transistor: Germanium Revisited

Double Auction Offloading for Energy and Cost Efficient Wireless Networks

Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting

Modelling the Defect Processes of Materials for Energy Applications

Collaborators (5)

Lefteri Tsoukalas

ELPINIKI PAPAGEORGIOU

Dimitrios Bargiotas

Georgios Vontzos

Alex Chroneos

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