[HTML][HTML] Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies
Power imbalances from fluctuating renewable electricity generators are counteracted by
often expensive flexibility services. Heating, cooling, and air-conditioning (HVAC) of …
often expensive flexibility services. Heating, cooling, and air-conditioning (HVAC) of …
Energy forecasting tools and services
The increasing complexity of the power grid and the continuous integration of volatile
renewable energy systems on all aspects of it have made more precise forecasts of both …
renewable energy systems on all aspects of it have made more precise forecasts of both …
Stochastic techno-economic analysis of power-to-gas technology for synthetic natural gas production based on renewable H2 cost and CO2 tax credit
Abstract Power-to-gas (P2G) has been proposed as an innovative energy storage system for
a long period of time to manage unbalanced electricity generated from renewable energy …
a long period of time to manage unbalanced electricity generated from renewable energy …
Photovoltaic power forecasting using simple data-driven models without weather data
The present contribution offers evidence regarding the possibility of obtaining reasonable
photovoltaic power forecasts without using weather data and with simple data-driven …
photovoltaic power forecasts without using weather data and with simple data-driven …
Technical potential of buildings in Germany as flexible power‐to‐heat storage for smart‐grid operation
P Kohlhepp, V Hagenmeyer - Energy Technology, 2017 - Wiley Online Library
Storage is a key concept to cope with a growing supply of volatile renewable energy.
Compared with genuine grid storage (power↔ X), domestic heating and cooling, operated …
Compared with genuine grid storage (power↔ X), domestic heating and cooling, operated …
[HTML][HTML] Mining flexibility patterns in energy time series from industrial processes
The transition from traditional energy sources to renewable ones is not trivial. Various
components in today's energy system are built for traditional suppliers and cannot cope with …
components in today's energy system are built for traditional suppliers and cannot cope with …
Nearest-neighbor based non-parametric probabilistic forecasting with applications in photovoltaic systems
The present contribution offers a simple methodology for the obtainment of data-driven
interval forecasting models by combining pairs of quantile regressions. Those regressions …
interval forecasting models by combining pairs of quantile regressions. Those regressions …
A smart charging assistant for electric vehicles considering battery degradation, power grid and user constraints
K Schwenk - 2022 - publikationen.bibliothek.kit.edu
The rise of intermittent renewable power generation increasingly impedes an efficient and
reliable utility grid operation. Simultaneously, the number of electric vehicles, which require …
reliable utility grid operation. Simultaneously, the number of electric vehicles, which require …
Auction design to use flexibility potentials in the energy-intensive industry
In the present paper, we propose auction designs to use flexibility potentials in the energy
intensive industry. More specifically, we investigate a large chemical industrial site, which …
intensive industry. More specifically, we investigate a large chemical industrial site, which …
[PDF][PDF] New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems
JÁ González Ordiano - core.ac.uk
The desire of making the existing energy systems more sustainable, calls for an increase
installation of renewable power systems. Nevertheless, the fact that some renewable power …
installation of renewable power systems. Nevertheless, the fact that some renewable power …