title: Review: Never a Dull Moment! Hamilton Stories

authors: Gush, Nadia

subjects: New Zealand

abstract: This article reviews the “Never a Dull Moment! Hamilton Stories”, Waikato Museum Te Whare Taonga o Waikato, 1 Grantham St, Hamilton

text: Review: Never a Dull Moment! Hamilton Stories This article reviews the “Never a Dull Moment! Hamilton Stories”, Waikato Museum Te Whare Taonga o Waikato, 1 Grantham St, Hamilton

year: 2010

title: Machine learning techniques for accurate prediction and improved matching of renewable energy production, storage, and consumption

authors: Pasandideh, Seyedmostafa

abstract: In recent decades, the electricity industry has undergone considerable transformation, characterized by the expansion of competitive electricity markets, integration of renewable energy sources, and the deployment of digital systems. These developments have contributed to increased complexity and variability within power systems, highlighting the need for more accurate, adaptive, and intelligent methods for managing electricity generation, storage, and consumption. This thesis focuses on addressing these challenges, with a particular emphasis on advancing New Zealand’s renewable energy ambitions through the application of machine learning (ML) and digital twin technologies for optimizing renewable energy forecasting and management in both industrial and residential contexts.
In the industrial domain, the research develops real-time solar power monitoring systems and predictive models employing convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. These models are designed to enhance forecasting precision and system efficiency by accounting for the inherent variability in renewable energy generation. Complementing this, fuzzy logic-based control strategies are implemented to manage electricity consumption adaptively in industrial processes, including applications within the meat processing industry. The incorporation of digital twin technologies further facilitates real-time monitoring, predictive maintenance, and agile response to evolving operational conditions, thereby supporting system resilience and efficiency.
In residential and community energy systems, the thesis introduces an innovative adaptive energy management framework combining streaming machine learning (SML) with a fractal-structured microgrid architecture. This framework utilizes incremental learning algorithms and digital twin principles to enable real-time adaptive control of energy flows, local trading of electricity, and dynamic adjustments in response to fluctuating supply and demand. The approach aims to enhance battery management, support local energy autonomy, and potentially reduce dependency on centralized grids. Comparative evaluations of centralized, distributed, and hybrid battery storage configurations provide insights into the trade-offs between grid interaction, storage longevity, and operational flexibility, offering practical solutions for optimizing residential microgrids.
In conclusion, this thesis explores a combined, case-study based approach to enhancing renewable energy utilization through the combined application of advanced machine learning and digital twin technologies. By addressing both industrial and residential energy systems, the research contributes to the broader vision of developing reliable, efficient, and sustainable power infrastructures. The findings align with New Zealand’s commitment to reducing carbon emissions and advancing renewable energy technologies, offering case-study evidence and potential approaches to support the transition toward a low-carbon energy future.

text: Machine learning techniques for accurate prediction and improved matching of renewable energy production, storage, and consumption In recent decades, the electricity industry has undergone considerable transformation, characterized by the expansion of competitive electricity markets, integration of renewable energy sources, and the deployment of digital systems. These developments have contributed to increased complexity and variability within power systems, highlighting the need for more accurate, adaptive, and intelligent methods for managing electricity generation, storage, and consumption. This thesis focuses on addressing these challenges, with a particular emphasis on advancing New Zealand’s renewable energy ambitions through the application of machine learning (ML) and digital twin technologies for optimizing renewable energy forecasting and management in both industrial and residential contexts.
In the industrial domain, the research develops real-time solar power monitoring systems and predictive models employing convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. These models are designed to enhance forecasting precision and system efficiency by accounting for the inherent variability in renewable energy generation. Complementing this, fuzzy logic-based control strategies are implemented to manage electricity consumption adaptively in industrial processes, including applications within the meat processing industry. The incorporation of digital twin technologies further facilitates real-time monitoring, predictive maintenance, and agile response to evolving operational conditions, thereby supporting system resilience and efficiency.
In residential and community energy systems, the thesis introduces an innovative adaptive energy management framework combining streaming machine learning (SML) with a fractal-structured microgrid architecture. This framework utilizes incremental learning algorithms and digital twin principles to enable real-time adaptive control of energy flows, local trading of electricity, and dynamic adjustments in response to fluctuating supply and demand. The approach aims to enhance battery management, support local energy autonomy, and potentially reduce dependency on centralized grids. Comparative evaluations of centralized, distributed, and hybrid battery storage configurations provide insights into the trade-offs between grid interaction, storage longevity, and operational flexibility, offering practical solutions for optimizing residential microgrids.
In conclusion, this thesis explores a combined, case-study based approach to enhancing renewable energy utilization through the combined application of advanced machine learning and digital twin technologies. By addressing both industrial and residential energy systems, the research contributes to the broader vision of developing reliable, efficient, and sustainable power infrastructures. The findings align with New Zealand’s commitment to reducing carbon emissions and advancing renewable energy technologies, offering case-study evidence and potential approaches to support the transition toward a low-carbon energy future.

year: 2025

title: The Impact of Colonisation on the Maori community: An exploration of the attitudes and perspectives held by Maori in relation to the active reclamation of Maori sovereignty/tino rangatiratanga.

authors: Baty, Tina Amy

subjects: Maori

abstract: Whāia te iti kahurangi ki te tūohu koe me he maunga teitei
Seek the treasure you value most dearly: If you bow your head, let it be to a lofty mountain
The purpose of my research was twofold. I first sort to explore the attitudes and perspectives held by Māori in relation to the active reclamation of Māori sovereignty, tino rangatiratanga. I further wanted to know how Māori sovereignty, tino rangatiratanga could lead to the improvement of Māori health.
My research collected information pertinent to these two inquiries from current literature and from interviews I conducted with five Māori individuals from different iwi, hapu groups. All whom were actively engaged with the Māori community in some form. My research data found that colonisalism has and continues to negatively impact the Māori community. This negative impact manifests in a variety of behaviours that effect Māori health and leads to poor outcomes for Māori. Māori sovereignty, tino rangatiratanga was thought of as the solution to overcome and neutralise the negative effects of colonialism experienced by Māori. Māori sovereignty, tino rangatiratanga was found to be related with Māori idenity and instrumental in all things pertinent to the Māori communities.
My research found that Māori sovereignty, tino rangatiratanga can be identified as existing on a philosophical level, governance-structural level, and on a day-to-day basis. This research found that the reclamation of Māori sovereignty, tino rangatiratanga is a process that is currently in motion. Finally, the exercising of Māori sovereignty, tino rangatiratanga in relation to Māori health provides a well-established argument that it can produce positive health benefits to the Māori community, because it is responsive to Māori and better meets the needs of our Māori community simply because it is a Māori way of being, doing and knowing.

text: The Impact of Colonisation on the Maori community: An exploration of the attitudes and perspectives held by Maori in relation to the active reclamation of Maori sovereignty/tino rangatiratanga. Whāia te iti kahurangi ki te tūohu koe me he maunga teitei
Seek the treasure you value most dearly: If you bow your head, let it be to a lofty mountain
The purpose of my research was twofold. I first sort to explore the attitudes and perspectives held by Māori in relation to the active reclamation of Māori sovereignty, tino rangatiratanga. I further wanted to know how Māori sovereignty, tino rangatiratanga could lead to the improvement of Māori health.
My research collected information pertinent to these two inquiries from current literature and from interviews I conducted with five Māori individuals from different iwi, hapu groups. All whom were actively engaged with the Māori community in some form. My research data found that colonisalism has and continues to negatively impact the Māori community. This negative impact manifests in a variety of behaviours that effect Māori health and leads to poor outcomes for Māori. Māori sovereignty, tino rangatiratanga was thought of as the solution to overcome and neutralise the negative effects of colonialism experienced by Māori. Māori sovereignty, tino rangatiratanga was found to be related with Māori idenity and instrumental in all things pertinent to the Māori communities.
My research found that Māori sovereignty, tino rangatiratanga can be identified as existing on a philosophical level, governance-structural level, and on a day-to-day basis. This research found that the reclamation of Māori sovereignty, tino rangatiratanga is a process that is currently in motion. Finally, the exercising of Māori sovereignty, tino rangatiratanga in relation to Māori health provides a well-established argument that it can produce positive health benefits to the Māori community, because it is responsive to Māori and better meets the needs of our Māori community simply because it is a Māori way of being, doing and knowing.

year: 2018