[HTML][HTML] A 3D indicator for guiding AI applications in the energy sector

H Quest, M Cauz, F Heymann, C Rod, L Perret, C Ballif… - Energy and AI, 2022 - Elsevier
Abstract The utilisation of Artificial Intelligence (AI) applications in the energy sector is
gaining momentum, with increasingly intensive search for suitable, high-quality and …

A three-port energy router for grid-tied PV generation systems with optimized control methods

L Wang, H Wang, M Fu, J Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In grid-tied photovoltaic (PV) generation systems, intelligent energy management is required
to maximize its performance. In this article, a novel three-port energy router with optimized …

[HTML][HTML] A high-resolution geospatial and socio-technical methodology for assessing the impact of electrified heat and transport on distribution network infrastructure

C McGarry, J Dixon, I Elders, S Galloway - Sustainable Energy, Grids and …, 2023 - Elsevier
There is an increasing need to decarbonise both heating and transport sectors in the UK,
and the uptake of low carbon technologies (LCTs) will be central to this. The impact of LCTs …

Forecasting energy technology diffusion in space and time: model design, parameter choice and calibration

F Heymann, F vom Scheidt, FJ Soares… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
New energy technologies such as Distributed Energy Resources (DER) will affect the spatial
and temporal patterns of electricity consumption. Models that mimic technology diffusion …

Orchestrating incentive designs to reduce adverse system-level effects of large-scale EV/PV adoption–The case of Portugal

F Heymann, V Miranda, FJ Soares, P Duenas… - Applied Energy, 2019 - Elsevier
The adoption of energy transition technologies for residential use is accelerated through
incentive designs. The structure of such incentives affects technology adoption patterns, that …

A modified Bass model to calculate PVDG hosting capacity in LV networks

TP Abud, E Cataldo, RS Maciel, BSMC Borba - Electric Power Systems …, 2022 - Elsevier
This work proposes a new stochastic model to address the impact of photovoltaic distributed
generation (PVDG) diffusion in LV networks. The proposed methodology is based on Bass …

Dynamics of large-scale solar PV adoption feedback effects: A technical, economic, and environmental assessment

M Ren, R Ghasemi, M Khalkhali, W Mo - Resources, Conservation and …, 2024 - Elsevier
Large residential solar photovoltaic (PV) penetration has a compound effect on the grid load
reductions, PV hosts' economic savings, and the achievable environmental benefits, which …

Baseline energy use modeling and characterization in tertiary buildings using an interpretable bayesian linear regression methodology

B Grillone, G Mor, S Danov, J Cipriano, F Lazzari… - Energies, 2021 - mdpi.com
Interpretable and scalable data-driven methodologies providing high granularity baseline
predictions of energy use in buildings are essential for the accurate measurement and …

On the emerging role of spatial load forecasting in transmission/distribution grid planning

F Heymann, JD Melo, PD Martínez… - Mediterranean …, 2018 - ieeexplore.ieee.org
Spatial load forecasting methodologies spatially allocate expected electricity demand
growth in a study area. In the last decades, this kind of forecasting has been applied to …

Spatiotemporal estimation of photovoltaic system adopters using fuzzy logic

DM de Melo, JV Gastelu, PTL Asano, JD Melo - Renewable Energy, 2022 - Elsevier
A considerable amount of governmental agencies have sought to improve their inhabitants'
quality of life in recent years, encouraging new sustainable technologies. The …