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"Architecture Forecasting."
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Future details of architecture
Despite the exaggerated news of the untimely 'death of the detail' by Greg Lynn, the architectural detail is now more lifelike and active than ever before. In this era of digital design and production technologies, new materials, parametrics, building information modeling (BIM), augmented realities and the nano-bio-information-computation consilience, the detail is now an increasingly vital force in architecture. Though such digitally designed and produced details are diminishing in size to the molecular and nano levels, they are increasingly becoming more complex, multi-functional, high performance and self-replicating. Far from being a non-essential and final finish, this new type of highly evolved high-tech detail is rapidly becoming the indispensable and critical core, the (sometimes iconic) DNA of an innovative new species of built environmental form that is spawning in scale and prominence, across product, interior, urban and landscape design. This issue of AD re-examines the history, theories and design of the world's most significant spatial details, and explores their innovative potentials and possibilities for the future of architecture.
Contributors include: Rachel Armstrong, Nic Clear, Edward Ford, Dennis Shelden, Skylar Tibbits.
Featured architects: Ben van Berkel, Hernan Diaz Alonso, Peter Macapia, Carlo Ratti, Philippe Rahm, Patrik Schumacher, Neil Spiller.
eBook
We want world wonders : building architectural myths
This book explores the world of architectural wonders and wonderment. It examines current classifications and it wonders about new categories. Through the eyes of students it speculates on possible fields that might propel us towards the realization of new world wonders, of exemplary and wonderful projects. It forms a new atlas of wonders. 'We Want World Wonders' is the seventh book in 'The Why Factory's Future Cities' series--Back cover.
Book
PowerNet: a smart energy forecasting architecture based on neural networks
Electricity demand forecasting is a critical task for efficient, reliable and economical operation of the power grid, which is one of the most essential building blocks of smart cities. Accurate forecasting allows grid operators to properly maintain the balance of supply and demand as well as to optimize operational cost for generation and transmission. This article proposes a novel neural network architecture PowerNet which can incorporate multiple heterogeneous features such as historical energy consumption data, weather data and calendar information for the demand forecasting task. Using real‐world smart meter dataset, we conduct an extensive evaluation to show the advantages of PowerNet over recently‐proposed machine learning methods such as Gradient Boosting Tree (GBT), Support Vector Regression (SVR), Random Forest (RF) and Gated Recurrent Unit (GRU). PowerNet demonstrates notable performance in reducing both the median and worst‐case prediction errors when forecasting demands of individual residential households. We further provide empirical results concerning the two operational considerations that are crucial when using PowerNet in practice: the time horizon the model can predict with a decent accuracy and the frequency of training the model to retain its modeling capability. Finally, we briefly discuss a multi‐layer anomaly/electricity‐theft detection approach based on PowerNet demand forecasting.
Journal Article
Speculations transformations : thoughts on the future of Germany's cities and regions
How are changing conditions in society likely to affect Germany's built environment? What are the catalysts for transformation in its cities and regions? Speculation Transformation is devoted to the social and spatial transformations that Germany will face in the future, speculating on their architectural consequences: What is it like to live in a city where the currency is watts instead of euros? What would happen if Hamburg's harbor were to be filled in as reclaimed land? Who is living in the Maintropolis? What would be the spatial consequences if Germany were to measure its economic strength based on the well-being of its citizens? This publication combines different approaches to a future-oriented, interdisciplinary interpretation of Germany as a human habitat, which help to open up new directions in the design of cities and landscapes. An atlas of architectural culture with contributions by Thomas Auer, Armen Avanessian, Stefan Bergheim, Matthjs Bouw, Armin Linke, Erik Swyngedouw, as well as numerous interviews and memos. On behalf of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB) and the German Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR).
Book
Islamic Architecture Today and Tomorrow
Through Islamic Architecture Today and Tomorrow, established experts, designers, and newer scholars from the world of 'Islamic architecture', broadly conceived, consider the field's changing nature and continued relevance in our rapidly globalizing context. Reflective essays address the meaning of 'Islamic' in built environments, as well as the geographical, chronological, and disciplinary diversity of a dynamic field of study that encompasses far more than mosques and tombs. Essays address the use and interpretation of historic structures and spaces, in addition to contemporary design, conservation, and touristic experience, as well as research, publication, and pedagogical practices.
It introduces scholars and practitioners to the state of Islamic architecture as a field of inquiry and provides a snapshot of the issues and challenges facing the field today. Looking forward, it invites readers to consider built environments in Islamic contexts as integral to global systems from an interdisciplinary and inclusive perspective. While this volume offers nuanced perspectives on a host of pressing questions, it ultimately aims to advance a necessarily on-going conversation.
The book will have wide appeal among architectural historians, art historians, and other scholars working on material in the traditional Islamic regions of the world (North Africa, the Middle East, and South Asia) and beyond, as well as scholars of religion and society. Practicing architects, landscape architects, planners, preservationists, and heritage managers in the regions addressed may also be interested in the volume. Essays have been written with non-specialist and student readers in mind. Undergraduate, graduate, and design students may use selected essays, or the entire collection, in university or graduate school coursework in architecture and Middle Eastern or Islamic studies.
eBook
Future Cities
Bringstogether architecture, fiction, film, and visual art toreconnectthe imaginary city with the real, proposing a future for humanity that is firmly grounded in the present and the diverse creative practices already at our fingertips. Though reaching ever further toward the skies, today's cities are overshadowed by multiple threats: climate change, overpopulation, social division, and urban warfare all endanger our metropolitan way of life. The fundamental tool we use to make sense of these uncertain city futures is the imagination. Architects, artists, filmmakers, and fiction writers have long been inspired to imagine cities of the future, but their speculative visions tend to be seen very differently from scientific predictions: flights of fancy on the one hand versus practical reasoning on the other. In a digital age when the real and the fantastic coexist as near equals, it is especially important to know how these two forces are entangled, and how together they may help us best conceive of cities yet to come. Exploring a breathtaking range of imagined cities—submerged, floating, flying, vertical, underground, ruined, and salvaged— Future Cities teases out the links between speculation and reality, arguing that there is no clear separation between the two. In the Netherlands, prototype floating cities are already being built; Dubai's recent skyscrapers resemble those of science-fiction cities of the past; while makeshift settlements built by the urban poor in the developing world are already like the dystopian cities of cyberpunk.
eBook
Last futures : nature, technology and the end of architecture
\"In the late 1960s the world was faced with impending disaster: the height of the Cold War, the end of oil and the decline of great cities throughout the world. Out of this crisis came a new generation that hoped to build a better future, influenced by visions of geodesic domes, walking cities and a meaningful connection with nature. In this brilliant work of cultural history, architect Douglas Murphy traces the lost archeology of the present day through the works of thinkers and designers such as Buckminster Fuller, the ecological pioneer Stewart Brand, the Archigram architects who envisioned the Plug-In City in the '60s, as well as co-operatives in Vienna, communes in the Californian desert and protesters on the streets of Paris. In this mind-bending account of the last avant-garde, we see not just the source of our current problems but also some powerful alternative futures\"-- Provided by publisher.
Book
Transformer-Based Model for Electrical Load Forecasting
Amongst energy-related CO2 emissions, electricity is the largest single contributor, and with the proliferation of electric vehicles and other developments, energy use is expected to increase. Load forecasting is essential for combating these issues as it balances demand and production and contributes to energy management. Current state-of-the-art solutions such as recurrent neural networks (RNNs) and sequence-to-sequence algorithms (Seq2Seq) are highly accurate, but most studies examine them on a single data stream. On the other hand, in natural language processing (NLP), transformer architecture has become the dominant technique, outperforming RNN and Seq2Seq algorithms while also allowing parallelization. Consequently, this paper proposes a transformer-based architecture for load forecasting by modifying the NLP transformer workflow, adding N-space transformation, and designing a novel technique for handling contextual features. Moreover, in contrast to most load forecasting studies, we evaluate the proposed solution on different data streams under various forecasting horizons and input window lengths in order to ensure result reproducibility. Results show that the proposed approach successfully handles time series with contextual data and outperforms the state-of-the-art Seq2Seq models.
Journal Article