Irradiance prediction intervals for PV stochastic generation in microgrid applications

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Accurate forecasting of photovoltaic (PV) power production is crucial for the integration of more renewable energy sources into the power grid. PV power production is highly intermittent, due to the stochastic cloud behaviour and cloud dynamics. Previous w ...

Hybrid vapor deposition is one of the most appealing processes for perovskite photovoltaics fabrication, thanks to its versatile nature. By using sequentially different vapor deposition processes tailored to the inorganic and organic perovskite precursors' ...

The recent geopolitical conflicts in Europe have underscored the vulnerability of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy systems ensuring sustainable energy supply in the future, the ...

This work proposes a method for optimal planning (sizing and siting) energy storage systems (ESSs) in power distribution grids while considering the option of curtailing photo-voltaic (PV) generation. More specifically, for a given PV generation capacity t ...

The carrier transport layer plays a critical role in high efficiency and stable perovskite solar cells (PSCs). Herein, CsPbBr3 quantum dots-sensitized mesoporous TiO2 (CPB-TiO2) electron transport layer for fabricating high-quality perovskite films with en ...

In this thesis we present and analyze approximation algorithms for three different clustering problems. The formulations of these problems are motivated by fairness and explainability considerations, two issues that have recently received attention in the ...

There is a growing recognition that electronic band structure is a local property of materials and devices, and there is steep growth in capabilities to collect the relevant data. New photon sources, from small-laboratory-based lasers to free electron lase ...

Solar energy is the most abundant energy source, harnessing solar energy holds the solution to the challenge of increasing global energy demand and reducing our dependence on fossil fuels. Photovoltaics which directly convert solar energy into electricity ...

Non-convex constrained optimization problems have become a powerful framework for modeling a wide range of machine learning problems, with applications in k-means clustering, large- scale semidefinite programs (SDPs), and various other tasks. As the perfor ...

Measurements of large-scale structure (LSS), as performed on the largest 3D map of over two million extragalactic sources from the Sloan Digital Sky Survey, together with measurements of the cosmic microwave background (CMB) anisotropies, are in complete a ...

Distributed rooftop photovoltaics (PV) is one of the pillars of the energy transition yet their widespread integration strains grids, leading to over-voltage, reverse power flow, and infrastructure strain. Furthermore, increased PV self-consumption reduces ...

The experimental behaviour of photoelectrochemical materials illuminated under high irradiance conditions >100 kW m−2 has not been studied despite being potentially advantageous for improving the photoelectrochemical performance and the system-level design ...

The thesis presents methods for controlling and planning distributed energy resources (DERs) in active distribution networks (ADNs). It deals with three main challenges: (i) developing and experimentally validating grid-aware real-time control frameworks, ...

Facades are the primary interface controlling the flow of solar energy in buildings and affecting their energy balance and environmental impact. Recently, large-scale 3D printing (3DP) of translucent polymers has been explored as a technique for fabricatin ...

Increasing adoption of smart meters and phasor measurement units (PMUs) in power distribution networks are enabling the adoption of data-driven/model-less control schemes to mitigate grid issues such as over/under voltages and power-flow congestions. Howev ...

In August 2021, a historic heatwave was recorded in Greece which resulted in extreme wildfire events that strongly affected the air quality over the city of Athens. Saharan dust was also transferred over Greece on certain days of the same period due to the ...

Characterizing the genetic structure of large cohorts has become increasingly important as genetic studies extend to massive, increasingly diverse biobanks. Popular methods decompose individual genomes into fractional cluster assignments with each cluster ...

Low-carbon societies will need to store vast amounts of electricity to balance intermittent generation from wind and solar energy, for example, through frequency regulation. Here, we derive an analytical solution to the decision-making problem of storage o ...

This paper considers two pertinent research inquiries: 'Can an AI-based predictive framework be utilised for the optimisation of solar energy management?' and 'What are the ways in which the AI-based predictive framework can be integrated within the Smart ...

The emergence of bifacial photovoltaics as a serious option for large-scale power generation makes the accuracy of the in-situ estimation of ground surface albedo increasingly critical. Recent studies have evaluated the performance of different models but ...

Irradiance prediction intervals for PV stochastic generation in microgrid applications

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Network time series forecasting in photovoltaics power production

Pizza Oven Processing of Organohalide Perovskites (POPOP): A Simple, Versatile and Efficient Vapor Deposition Method

Identification of typical district configurations: A two-step global sensitivity analysis framework

Optimal sizing and siting of energy storage systems considering curtailable photovoltaic generation in power distribution networks

CsPbBr3 Quantum Dots-Sensitized Mesoporous TiO2 Electron Transport Layers for High-Efficiency Perovskite Solar Cells

Fairness and Explainability in Clustering Problems

Transfer learning application of self-supervised learning in ARPES

Photoelectrochemical Cell Engineering for Solar Energy Conversion

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Probing the nature of Dark Energy through the study of large scale structures using spectroscopic surveys and their simulations

Balancing DSO interests and PV system economics with alternative tariffs

Photoelectrochemical behaviour of photoanodes under high photon fluxes

Methods for Grid-aware Operation and Planning of Active Distribution Networks

Tuning the Solar Performance of Building Facades through Polymer 3D Printing: Toward Bespoke Thermo-Optical Properties

Experimental Validation of Model-less Robust Voltage Control using Measurement-based Estimated Voltage Sensitivity Coefficients

Investigation of the effects of the Greek extreme wildfires of August 2021 on air quality and spectral solar irradiance

Neural ADMIXTURE for rapid genomic clustering

Frequency Regulation with Storage: On Losses and Profits

AI-based forecasting for optimised solar energy management and smart grid efficiency

Calibration of ground surface albedo models