Tootfinder

Clear message from the Trump regime to European clients* dependent on US tech companies: those will be brought under control.
*) like the Dutch tax authority preparing to outsource all of its VAT collection.

FPF Releases Updated Infographic on Age Assurance Technologies, Emerging Standards, and Risk Management
https://fpf.org/blog/fpf-releases-updated-infographic-on-age-assurance-technologies-emerging-standards-and-risk-m…

On Spacetherm Aerogel Thermal Insulation - Learn about the highest-performing robust wall insulation for where space is at a premium: small homes in expensive cities. #aerogel #IWI #insulation -

On Spacetherm Aerogel Thermal Insulation
Learn about the highest-performing robust wall insulation for where space is at a premium: small homes in expensive cities. #aerogel #IWI #insulation

Did they tell you Dutch grid operators are slow?
So far, our DSO Stedin is not :)
From my application for upgrade to a three-phase 3x25A connection via acceptance, payment and start of preparations within 10 minutes, in late evening!

First ride this spring! We had our bikes at the maintenance service this week and were eager to have a ride.
46km of joy!
#mtb #cycling

"Wir haben jetzt SSL, also sind wir sicher." Stimmt. Aber rankt ihr auch noch? 🔒
Bei HTTPS-Migrationen passiert oft: HTTP-Version noch erreichbar, keine Weiterleitungen, jede URL existiert doppelt. Duplicate Content vom Feinsten.
Checkliste: 301-Redirects von HTTP auf HTTPS, Canonicals updaten, interne Links umschreiben, Sitemap neu einreichen, alte Property in der GSC behalten.
Diese Checkliste dauert weniger lang als der Ranking-Verlust den man sonst riskiert. ⏱…

SOFICO, 🇧🇪 Wallonia’s infrastructure investment arm, will facilitate a significant expansion of public #EV charging infrastructure along the TEN-T main routes over the next five years:
- grid connections will be initiated in anticipation of demand (and the tendering of charging locations), where possible in combination with local renewable energy generation
- tenders are being prepared fo…

Cracks Appear in Trump Coalition Ahead of State of the Union
As the president prepares to speak to the nation,
Northeastern Pennsylvania is showing discontent on the edges of the Trump coalition and an energized Democratic opposition.
https://www.…

Ahead of State of the Union, Cracks Appear in Trump Coalition
As the president prepares to speak to the nation, Northeastern Pennsylvania is showing discontent on the edges of the Trump coalition and an energized Democratic opposition.

On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning
Andreas Tritsarolis, Gil Sampaio, Nikos Pelekis, Yannis Theodoridis
https://arxiv.org/abs/2602.20782 https://arxiv.org/pdf/2602.20782 https://arxiv.org/html/2602.20782
arXiv:2602.20782v1 Announce Type: new
Abstract: The wide spread of new energy resources, smart devices, and demand side management strategies has motivated several analytics operations, from infrastructure load modeling to user behavior profiling. Energy Demand Forecasting (EDF) of Electric Vehicle Supply Equipments (EVSEs) is one of the most critical operations for ensuring efficient energy management and sustainability, since it enables utility providers to anticipate energy/power demand, optimize resource allocation, and implement proactive measures to improve grid reliability. However, accurate EDF is a challenging problem due to external factors, such as the varying user routines, weather conditions, driving behaviors, unknown state of charge, etc. Furthermore, as concerns and restrictions about privacy and sustainability have grown, training data has become increasingly fragmented, resulting in distributed datasets scattered across different data silos and/or edge devices, calling for federated learning solutions. In this paper, we investigate different well-established time series forecasting methodologies to address the EDF problem, from statistical methods (the ARIMA family) to traditional machine learning models (such as XGBoost) and deep neural networks (GRU and LSTM). We provide an overview of these methods through a performance comparison over four real-world EVSE datasets, evaluated under both centralized and federated learning paradigms, focusing on the trade-offs between forecasting fidelity, privacy preservation, and energy overheads. Our experimental results demonstrate, on the one hand, the superiority of gradient boosted trees (XGBoost) over statistical and NN-based models in both prediction accuracy and energy efficiency and, on the other hand, an insight that Federated Learning-enabled models balance these factors, offering a promising direction for decentralized energy demand forecasting.
toXiv_bot_toot

"World’s largest steam-producing heat pump comes online in Finland"
#Finland #HeatPumps #Energy

World’s largest steam-producing heat pump comes online in Finland
Turboden, part of Mitsubishi Heavy Industries, has energized what it calls the world’s largest steam-producing heat pump, delivering 12 MWth of superheated steam using low-grade waste heat and CO₂-free electricity with a coefficient of performance 10% above its guaranteed value of 2.