[HTML][HTML] An adaptive deep-learning load forecasting framework by integrating transformer and domain knowledge
Electrical energy is essential in today's society. Accurate electrical load forecasting is
beneficial for better scheduling of electricity generation and saving electrical energy. In this …
beneficial for better scheduling of electricity generation and saving electrical energy. In this …
[HTML][HTML] Limiting imbalance settlement costs from variable renewable energy sources in the Nordics: Internal balancing vs. balancing market participation
Due to the market gate closures in the Nordic energy markets, producers with variable
renewable energy (VRE) assets, eg, PV and wind power plants, must forecast their …
renewable energy (VRE) assets, eg, PV and wind power plants, must forecast their …
[HTML][HTML] Wind power plants hybridised with solar power: A generation forecast perspective
A Couto, A Estanqueiro - Journal of Cleaner Production, 2023 - Elsevier
The association of different variable renewable technologies in hybrid power plants and the
benefits of their aggregation for the operation of power systems is an area of recent …
benefits of their aggregation for the operation of power systems is an area of recent …
Charging characteristics of finned thermal energy storage tube under variable rotation
Solar photovoltaic-thermal (PVT) systems effectively offset the drawbacks of intermittent
solar and low photovoltaic conversion efficiency. Thermal energy storage (TES) tanks of PVT …
solar and low photovoltaic conversion efficiency. Thermal energy storage (TES) tanks of PVT …
Renewable energy integration with DC microgrids: Challenges and opportunities
DC microgrids are currently experiencing a surge in attention and interest, emerging as a
focal point in the global energy discourse due to their potential to enhance energy efficiency …
focal point in the global energy discourse due to their potential to enhance energy efficiency …
[HTML][HTML] Urban-scale energy matching optimization with smart EV charging and V2G in a net-zero energy city powered by wind and solar energy
Renewable energy and electric vehicles (EVs) are crucial technologies for achieving
sustainable cities. However, intermittent power generation from renewable energy sources …
sustainable cities. However, intermittent power generation from renewable energy sources …
Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning
The creation of features makes the difference in improving the photovoltaic forecast (PVF) for
on‐grid, hybrid and off‐grid PV systems. The importance of the PVF is tremendous, and it …
on‐grid, hybrid and off‐grid PV systems. The importance of the PVF is tremendous, and it …
[HTML][HTML] Influence of high-resolution data on accurate curtailment loss estimation and optimal design of hybrid PV–wind power plants
ØS Klyve, R Grab, V Olkkonen, ES Marstein - Applied Energy, 2024 - Elsevier
Hybrid photovoltaic (PV)-wind power plants (HyPPs), ie, where the PV and wind systems are
co-located and share the Point of Interconnection (POI) with the grid, have recently attracted …
co-located and share the Point of Interconnection (POI) with the grid, have recently attracted …
[HTML][HTML] Probabilistic load forecasting for integrated energy systems using attentive quantile regression temporal convolutional network
The burgeoning proliferation of integrated energy systems has fostered an unprecedented
degree of coupling among various energy streams, thereby elevating the necessity for …
degree of coupling among various energy streams, thereby elevating the necessity for …
[HTML][HTML] Enhancing profits of hybrid wind-battery plants in spot and balancing markets using data-driven two-level optimization
Nowadays, co-locate renewable power plants and energy storage systems, forming hybrid
power plants (HPPs) have raised commercial interests. One popular configuration of HPP is …
power plants (HPPs) have raised commercial interests. One popular configuration of HPP is …