[HTML][HTML] On the value of expert knowledge in estimation and forecasting of solar photovoltaic power generation

L Visser, T AlSkaif, J Hu, A Louwen, W van Sark - Solar Energy, 2023 - Elsevier
Reliable estimates and forecasts of Photovoltaic (PV) power output form a fundamental
basis to support its large-scale integration. This is recognized in literature, where a growing …

[HTML][HTML] An operational bidding framework for aggregated electric vehicles on the electricity spot market

LR Visser, ME Kootte, AC Ferreira, O Sicurani… - Applied energy, 2022 - Elsevier
Fluctuating electricity prices offer potential economic savings for the consumption of
electricity by flexible assets such as Electric Vehicles (EVs). This study proposes an …

Transforming Stock Price Forecasting: Deep Learning Architectures and Strategic Feature Engineering

NQ Anh, HX Son - International Conference on Modeling Decisions for …, 2024 - Springer
This paper delves into the multifaceted landscape of stock prices, as their nature makes
accurate forecasting a considerable challenge for investors and researchers. The analysis …

Anomaly detection in electricity consumption data using deep learning

M Kardi, T AlSkaif, B Tekinerdogan… - … on Environment and …, 2021 - ieeexplore.ieee.org
Anomaly detection in electricity consumption data is one of the most important methods to
identify anomalous events in buildings and electric assets, such as energy theft, metering …

GPS Data and Machine Learning Tools, a Practical and Cost-Effective Combination for Estimating Light Vehicle Emissions

ND Rivera-Campoverde, B Arenas-Ramírez… - Sensors, 2024 - mdpi.com
This paper focuses on the emissions of the three most sold categories of light vehicles:
sedans, SUVs, and pickups. The research is carried out through an innovative methodology …

[HTML][HTML] Short term forecasting peak load hours of regional power systems using machine learning methods

V Voronin, F Nepsha, M Krasilnikov - CIGRE Science&engineering, 2023 - cse.cigre.org
The study aims to address the challenge of predicting peak load hours for regions in Russia
that are part of the unified energy system and are subject to capacity charges in the retail …

Improved Feature Selection Algorithm of Electricity Price Forecasting using SVM

PJ Prahara, TK Hariadi - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Electricity price is of essential to all market participants due to its substantial applications.
Because of its importance, accurate day ahead forecasting price methodology has become …

An evaluation of predictor variables for photovoltaic power forecasting

L Visser, T AlSkaif, W van Sark - International Conference on Intelligent …, 2021 - Springer
Accurate forecasts of the electric power generation by solar Photovoltaic (PV) systems are
essential to support their vast increasing integration. This study evaluates the …

VMD-WSLSTM Load Prediction Model Based on Shapley Values

B Shao, Y Yan, H Zeng - Energies, 2022 - mdpi.com
Accurate short-term load forecasting can ensure the safe operation of the grid. Decomposing
load data into smooth components by decomposition algorithms is a common approach to …

KORISNOST STROJNOG UČENJA U ANALIZI PRIJELAZA NA ČISTU ENERGIJU: SLUČAJ NJEMAČKE

T Gelo, M Družić - Ekonomska misao i praksa, 2025 - hrcak.srce.hr
Sažetak Jedna od glavnih sastavnica procesa tranzicije čiste energije u EU jesu
liberalizirana tržišta električne energije. Budući da se većinom električnom energijom trguje …