One person has been killed and dozens wounded after Russia launched a massive wave of strikes against Ukraine overnight, officials have said. Prime Minister Yulia Svyrydenko said it was an especially difficult night for Kyiv, where rescuers are searching through the rubble of a residential building after a combined missile and drone attack on the Ukrainian capital. The overnight barrage followed a major attack on Wednesday - one of the largest Russia has mounted since the start of its full-scale invasion in 2022, with 892 drones launched in 24 hours. It marks the third day in a row Ukraine has reported deaths, as Moscow ramps up its assault after a three-day ceasefire expired on Monday. In the capital, a search and rescue operation began early Thursday to look for people under the rubble of a nine-storey apartment block which had been hit overnight.

What are Russia's gains from the Iran war? 'We are not losers; we are winners' Russia has continued heavy attacks on Ukraine for the past 24 hours, with several coming overnight on Thursday and in the early hours of Friday. At least one person has been killed and several have been injured. A Russian drone attack overnight damaged port infrastructure in Ukraine's southern Odesa region and wounded two people in the Black Sea port city of Odesa, regional Governor Oleh Kiper said on Friday morning. Two high-rise residential buildings were damaged in the attack, which destroyed apartments and caused fires, Kiper wrote on the Telegram messaging app. "This night, Russia again massively attacked the civilian infrastructure of the Odesa region: two people were injured," he said.

Short-term load forecasting (STLF), which typically ranges from hour-ahead to a few days ahead, plays a multitude of critical roles.

Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' A Russian air attack has killed two people in Kyiv region's Bilohorodska community, and a drone attack killed another person in central Ukraine's Dnipropetrovsk region, according to local authorities. The deadly attacks came overnight on Wednesday, just hours after a deadly drone attack on a commuter train in northeastern Ukraine's Kharkiv - an incident denounced as "terrorism" by President Volodymyr Zelenskyy, who put the number of people on that train at 200.

A large Russian aerial strike on Ukraine has again left half of Kyiv's residential buildings without heating or power as temperatures across the country continue to hover around -10C. Drones, ballistic and cruise missiles targeted several locations in Ukraine, including Kyiv, Dnipro in the centre and Odesa in the south. Air raid alerts in the capital lasted for most of the night. On Tuesday, sirens rang out again as Russian drones and cruise missiles approached the capital. President Volodymyr Zelensky said a significant number of targets had been intercepted.

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Improving energy efficiency in residential buildings is critical to combating climate change and reducing greenhouse gas emissions. Retrofitting existing buildings, which contribute a significant share of energy use, is therefore a key priority, especially in regions with outdated building stock. Artificial Intelligence (AI) and Machine Learning (ML) can automate retrofit decision-making and find retrofit strategies. However, their use faces challenges of data availability, model transparency, and compliance with national and EU AI regulations including the AI act, ethics guidelines and the ALTAI. This paper presents a trustworthy-by-design ML-based decision support framework that recommends energy efficiency strategies for residential buildings using minimal user-accessible inputs. The framework merges Conditional Tabular Generative Adversarial Networks (CTGAN) to augment limited and imbalanced data with a neural network-based multi-label classifier that predicts potential combinations of retrofit actions. To support explanation and trustworthiness, an Explainable AI (XAI) layer using SHapley Additive exPlanations (SHAP) clarifies the rationale behind recommendations and guides feature engineering. Two case studies validate performance and generalization: the first leveraging a well-established, large EPC dataset for England and Wales; the second using a small, imbalanced post-retrofit dataset from Latvia (RETROFIT-LAT). Results show that the framework can handle diverse data conditions and improve performance up to 53% compared to the baseline. Overall, the proposed framework provides a feasible, interpretable, and trustworthy AI system for building retrofit decision support through assured performance, usability, and transparency to aid stakeholders in prioritizing effective energy investments and support regulation-compliant, data-driven innovation in sustainable energy transition.

A Russian drone and missile attack on the Ukrainian capital Kyiv has killed at least one person and injured seven others, city officials say. Early on Saturday morning residential buildings in several districts were hit and loud explosions could be heard across the city. Kyiv's mayor Vitaly Klitschko said a 13-year-old child was among the injured and four people had been taken to hospital. Earlier this week a similar attack on Kyiv killed seven people, Ukrainian officials said. The latest bombardment came as Ukrainian negotiators were preparing for talks with US officials this weekend on an amended US peace plan.

Three people have died and at least 26 others injured in a wave of Russian drone and missile strikes on Kyiv, Ukrainian officials say. Mayor Vitaliy Klitschko described strikes, which caused explosions and fires in residential buildings across the city, as massive. Kyiv's energy infrastructure was also damaged, leaving some buildings in the north-east without heat, he said. Ukraine's air force reported several other regions across the country were also being targeted. Russia's defence ministry said it had downed or intercepted 216 Ukrainian drones that had targeted its industrial facilities and disrupted air travel, according to Reuters news agency.

Short-term load forecasting (STLF), which typically ranges from hour-ahead to a few days ahead, plays a multitude of critical roles.