Sofia Polymeni

Combining Statistical and Machine Learning Methodologies in Energy Consumption Forecasting for Electric Vehicles

Vasileios Pitsiavas, Georgios P Spanos, Sofia Polymeni, Antonios X. Lalas et autres

Achieving the Sustainable Development Goals (SDG) requires a transition from conventional fossil-fuel-powered vehicles to alternative energy sources, such as electricity. However, accurately forecasting energy consumption remains a critical challenge in the widespread adoption of Electric Vehicles (EVs), as it directly impacts operational …

Green Urban Mobility: Optimizing Hydrogen Public Transport from Demand to Energy Supply

Sofia Polymeni, Maria C. Fotopoulou, Georgios P Spanos, Quentin Matthewson et autres

This is a conference paper presenting presenting a demand and supply framework, specifically tailored to public transportation scenarios, that combines the consumption predictions extracted by a seasonal traditional forecasting algorithm with a production optimization model.

gr, ch, jp (code pays fourni par la source)

Green Urban Mobility: Optimizing Hydrogen Public Transport from Demand to Energy Supply

Sofia Polymeni, Maria C. Fotopoulou, Georgios P Spanos, Quentin Matthewson et autres

This is a conference paper presenting presenting a demand and supply framework, specifically tailored to public transportation scenarios, that combines the consumption predictions extracted by a seasonal traditional forecasting algorithm with a production optimization model.

gr, ch, jp (code pays fourni par la source)

Real-Time AIoT-Driven Weather Forecasting on the Edge for Off-Grid Settings

Sofia Polymeni, Georgios Spanos, Stefanos Georgiadis, Anastasios Pechlivanidis et autres

Weather forecasting, given the ever-increasing occurrence of climate change-induced events, has been widely introduced as a method to offer accurate and timely forecasts for proactive measures and risk mitigation. Artificial intelligence of things (AIoT) offers promising solutions for short-term weather forecasting, contributing …

gr (code pays fourni par la source)

everWeather_2.0 Weather Data (CERTH-W)

Sofia Polymeni, Georgios Spanos, Stefanos Georgiadis, Anastasios Pechlivanidis et autres

everWeather_2.0 Weather Data (CERTH-W) The everWeather_2.0 Weather Data (CERTH-W) dataset contains structured environmental and meteorological measurements collected for weather analysis, forecasting, and machine learning applications. The dataset includes 300 observations with six core atmospheric and environmental variables: Temperature Humidity Luminosity Atmospheric Pressure …

gr (code pays fourni par la source)

everWeather_2.0 Weather Data (CERTH-W)

Sofia Polymeni, Georgios Spanos, Stefanos Georgiadis, Anastasios Pechlivanidis et autres

everWeather_2.0 Weather Data (CERTH-W) The everWeather_2.0 Weather Data (CERTH-W) dataset contains structured environmental and meteorological measurements collected for weather analysis, forecasting, and machine learning applications. The dataset includes 300 observations with six core atmospheric and environmental variables: Temperature Humidity Luminosity Atmospheric Pressure …

gr (code pays fourni par la source)

Analyzing Energy Consumption in Battery Electric Vehicles: A Statistical-based Approach

Sofia Polymeni, Georgios P Spanos, Vasileios Pitsiavas, Antonios X. Lalas et autres

The shift to battery electric vehicles (BEVs) is a key step towards reducing greenhouse gas (GHG) emissions and decreasing dependence on fossil fuels, ultimately achieving Sustainability Development Goals and more specifically, a more sustainable form of transportation. However, while BEVs help eliminate …

Real-Time AIoT-driven Weather Forecasting on the Edge for Remote Areas

Sofia Polymeni, Georgios P Spanos, Stefanos Georgiadis, Anastasios Pechlivanidis et autres

Weather forecasting, given the ever-increasing occurrence of climate change induced events, has been widely introduced as a method to offer accurate and timely forecasts for proactive measures and risk mitigation. Artificial intelli gence of things (AIoT) offers promising solutions for short-term weather …

gr (code pays fourni par la source)

Analyzing Energy Consumption in Battery Electric Vehicles: A Statistical-Based Approach

Sofia Polymeni, Georgios P Spanos, Vasileios Pitsiavas, Antonios X. Lalas et autres

The shift to battery electric vehicles (BEVs) is a key step towards reducing greenhouse gas (GHG) emissions and decreasing dependence on fossil fuels, ultimately achieving Sustainability Development Goals and more specifically, a more sustainable form of transportation. However, while BEVs help eliminate …

gr (code pays fourni par la source)

A FinTech-Aligned Optimization Framework for IoT-Enabled Smart Agriculture to Mitigate Greenhouse Gas Emissions

Sofia Polymeni, Dimitrios N. Skoutas, Georgios Kormentzas, Charalambos Skianis

With agriculture being the second biggest contributor to greenhouse gas (GHG) emissions through the excessive use of fertilizers, machinery, and inefficient farming practices, global efforts to reduce emissions have been intensified, opting for smarter, data-driven solutions. However, while machine learning (ML) offers …

gr (code pays fourni par la source)

Analyzing Energy Consumption in Battery Electric Vehicles: A Statistical-based Approach

Sofia Polymeni, Georgios P Spanos, Vasileios Pitsiavas, Antonios X. Lalas et autres

The shift to battery electric vehicles (BEVs) is a key step towards reducing greenhouse gas (GHG) emissions and decreasing dependence on fossil fuels, ultimately achieving Sustainability Development Goals and more specifically, a more sustainable form of transportation. However, while BEVs help eliminate …

Analyzing Energy Consumption in Battery Electric Vehicles: A Statistical-based Approach

Sofia Polymeni, Georgios P Spanos, Vasileios Pitsiavas, Antonios X. Lalas et autres

The shift to battery electric vehicles (BEVs) is a key step towards reducing greenhouse gas (GHG) emissions and decreasing dependence on fossil fuels, ultimately achieving Sustainability Development Goals and more specifically, a more sustainable form of transportation. However, while BEVs help eliminate …